{"schemaVersion":"jobsearcher.job.v1","id":"d3ded9d4dcc6a9fed94a4e92","url":"https://jobsearcher.com/jobs/d3ded9d4dcc6a9fed94a4e92","canonicalUrl":"https://jobsearcher.com/jobs/d3ded9d4dcc6a9fed94a4e92","title":"Senior Data Platform Engineer","description":"Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.\n\nPattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].\n\nPattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.\n\nWe are looking for a high-impact Senior Data Platform Engineer to design, scale, and optimize our high-performance data infrastructure. In this role, you will build the critical systems that enable our internal teams and global partners to process and query trillions of data points with speed and reliability. If you are ready to eliminate data friction, build cutting-edge platform solutions, and thrive in a fast-paced environment, you belong at Pattern!\nWhat is a day in the life of a Senior Data Platform Engineer?\n\nDesign, build, and operate scalable, high-performance data infrastructure supporting both batch and real-time processing on a modern open-source stack: Iceberg, Spark, Kafka, etc.\n\nTake a vague or high-level problem statement, drive it to a concrete architecture, and ship it to production end to end.\n\nDefine and manage platform infrastructure as code, and build the self-healing, observable systems that keep it reliable without manual intervention.\n\nBuild the tooling, SDKs, and self-service paths that let Data Engineers, Software Engineers, and AI agents use the platform safely without asking for help.\n\nImplement optimized data pipeline architectures and data access patterns that eliminate friction across global teams.\n\nCollaborate cross-functionally with Software Engineers, Data Engineers, and Product teams to meet evolving technical requirements, and bring a strong point of view to design reviews.\n\nIntegrate cloud security and access control best practices across all distributed data assets.\n\nTroubleshoot, debug, and resolve complex performance bottlenecks in distributed data systems to ensure platform uptime and data integrity.\n\nBuild diagnostic and monitoring tools to proactively identify and resolve issues affecting system health and data availability.\n\nWhat will I need to thrive in this role?\n\n4+ years of experience in data platform engineering, data infrastructure, or backend software development with a \"Data Fanatic\" mindset.\n\nEnd-to-End Problem Solving in Ambiguity: Ability to take vague or high-level requirements and drive them to a concrete, production-ready solution. You must have a track record of navigating complex technical roadblocks independently and architecting systems that solve the \"whole\" problem, not just the immediate ticket.\n\nSoftware Engineering: Strong proficiency in building performant, concurrent data services and platform tooling. Go is preferred, but deep expertise in Java, Python, Ruby, or Scala is accepted.\n\nModern Open-Source Architecture: Deep hands-on experience designing and operating modern data stacks. You should be comfortable with solutions involving Apache Iceberg, Glue catalog, and S3 for storage; Trino, Spark, and ClickHouse for compute; and Kafka for streaming, specifically within a Kubernetes environment.\n\nSRE Mindset & Infrastructure as Code: Apply DevOps and Site Reliability Engineering principles to data infrastructure. You must be proficient in defining infrastructure using Terraform or CloudFormation, creating self-healing systems, and setting up observability solutions (Prometheus, Grafana, or Datadog) to ensure platform reliability and scalability.\n\nDatabase & Storage Optimization: Proven ability to manage and tune relational stores (Postgres/RDS) alongside distributed systems, ensuring data consistency, efficient indexing, and optimal query performance across the platform.\n\nAI-Native Platform Thinking: Comfort building a platform that both humans and AI agents consume. You should be able to expose data and infrastructure through well-documented, programmatic interfaces (catalogs, metadata, semantic layers, MCP servers, and agent-safe query paths), and you actively use AI coding tools to increase your own throughput.\n\nOpinionated Collaboration & Communication: A strong technical voice who thrives in design reviews. You must be able to articulate complex architectural trade-offs, defend your design choices with data, and professionally challenge the status quo when you see a better way to solve a business problem.\n\nWhat does high performance look like?\n\nExecution & Innovation: You consistently deliver efficient platform enhancements, optimize cloud costs, and increase overall infrastructure performance.\n\nSystem Scalability: You successfully maintain and improve platform components capable of ingesting and querying tens of trillions of data points.\n\nA Team of Doers: You actively participate in peer code reviews, contribute to technical documentation, and elevate engineering standards across the team.\n\nOperational Excellence: You reduce system downtime and latency by establishing robust CI/CD pipelines and proactive alerting mechanisms.\n\nWhat is my potential for career growth?\n\nMentorship opportunities from engineering leadership in Data and Architecture.\n\nBroad exposure across diverse business units within Pattern's global technology organization.\n\nA clear, merit-based career path with potential advancement toward Staff Engineer or Lead Data Platform roles.\n\nOpportunity to drive key technical initiatives that directly shape Pattern's core ecommerce acceleration platform.\n\nInternal promotion priority for high-performing \"Pattern People.\"\n\nWhat does success look like in the first 30, 60, 90 days?\n\nFirst 30 Days: Build context on Pattern's data stack, complete system onboarding, and begin resolving minor infrastructure issues or backlog tickets.\n\nFirst 60 Days: Take ownership of key platform components, optimize pipeline performance, and deliver meaningful reliability improvements.\n\nFirst 90 Days: Independently design and execute platform features, contribute to technical discussions, and actively participate in the team's operational rhythm.\n\nWhat is the team like?\n\nThis role reports directly to the VP of Data and Architecture. You will be joining a growing team of data professionals. In this role, you will collaborate closely with Data Engineers, Backend Software Engineers, and Data Scientists, as well as other departments including Engineering, Product, and Marketing.\n\nSounds great! What’s the company culture?\n\nWe are looking for individuals who are:\n\nGame Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.\n\nData Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.\n\nPartner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.\n\nTeam of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.\n\nWhat is the hiring process?\n\nInitial interview with Pattern's talent acquisition team\n\nTechnical video interview with a senior member of the data platform team\n\nOnsite/Panel interview with peers and engineering leadership\n\nProfessional reference checks\n\nExecutive review\n\nOffer\n\nHow can I stand out as an applicant?\n\nStrong Nice-to-Haves: Production Go experience, Spark-on-Kubernetes operations, CDC-based ingestion (Debezium or similar), data catalog and lineage tooling, Snowflake or Databricks depth, and meaningful open-source data tooling contributions.\n\nQuantify Success: During interviews, share tangible achievements using data metrics to demonstrate operational impact and system efficiency gains.\n\nShow Your Ambiguity Muscle: Bring an example of a problem that arrived as one sentence and left as a production system, and be ready to walk through the trade-offs you rejected along the way.\n\nShow Your Passion: Share side projects or personal repositories focused on data engineering, infrastructure automation, or large-scale analytics.\n\nThe \"Partner\" Lens: Articulate clearly how high infrastructure reliability and data platform speed directly enable better outcomes for global ecommerce partners.\n\nWhy should I work at Pattern?\n\nPattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:\n\n- Unlimited PTO\n- Paid Holidays\n- Onsite Fitness Center\n- Company Paid Life Insurance\n- Casual Dress Code\n- Competitive Pay\n- Health, Vision, and Dental Insurance\n- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.\n\nPattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Pattern","rawCompany":"pattern","city":"Lehi","state":"UT","isRemote":false,"isActive":false,"createdAt":"2026-09-06T08:22:28.086Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Platform Engineer","description":"Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list.\n\nPattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email [email protected].\n\nPattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®.\n\nWe are looking for a high-impact Senior Data Platform Engineer to design, scale, and optimize our high-performance data infrastructure. In this role, you will build the critical systems that enable our internal teams and global partners to process and query trillions of data points with speed and reliability. If you are ready to eliminate data friction, build cutting-edge platform solutions, and thrive in a fast-paced environment, you belong at Pattern!\nWhat is a day in the life of a Senior Data Platform Engineer?\n\nDesign, build, and operate scalable, high-performance data infrastructure supporting both batch and real-time processing on a modern open-source stack: Iceberg, Spark, Kafka, etc.\n\nTake a vague or high-level problem statement, drive it to a concrete architecture, and ship it to production end to end.\n\nDefine and manage platform infrastructure as code, and build the self-healing, observable systems that keep it reliable without manual intervention.\n\nBuild the tooling, SDKs, and self-service paths that let Data Engineers, Software Engineers, and AI agents use the platform safely without asking for help.\n\nImplement optimized data pipeline architectures and data access patterns that eliminate friction across global teams.\n\nCollaborate cross-functionally with Software Engineers, Data Engineers, and Product teams to meet evolving technical requirements, and bring a strong point of view to design reviews.\n\nIntegrate cloud security and access control best practices across all distributed data assets.\n\nTroubleshoot, debug, and resolve complex performance bottlenecks in distributed data systems to ensure platform uptime and data integrity.\n\nBuild diagnostic and monitoring tools to proactively identify and resolve issues affecting system health and data availability.\n\nWhat will I need to thrive in this role?\n\n4+ years of experience in data platform engineering, data infrastructure, or backend software development with a \"Data Fanatic\" mindset.\n\nEnd-to-End Problem Solving in Ambiguity: Ability to take vague or high-level requirements and drive them to a concrete, production-ready solution. You must have a track record of navigating complex technical roadblocks independently and architecting systems that solve the \"whole\" problem, not just the immediate ticket.\n\nSoftware Engineering: Strong proficiency in building performant, concurrent data services and platform tooling. Go is preferred, but deep expertise in Java, Python, Ruby, or Scala is accepted.\n\nModern Open-Source Architecture: Deep hands-on experience designing and operating modern data stacks. You should be comfortable with solutions involving Apache Iceberg, Glue catalog, and S3 for storage; Trino, Spark, and ClickHouse for compute; and Kafka for streaming, specifically within a Kubernetes environment.\n\nSRE Mindset & Infrastructure as Code: Apply DevOps and Site Reliability Engineering principles to data infrastructure. You must be proficient in defining infrastructure using Terraform or CloudFormation, creating self-healing systems, and setting up observability solutions (Prometheus, Grafana, or Datadog) to ensure platform reliability and scalability.\n\nDatabase & Storage Optimization: Proven ability to manage and tune relational stores (Postgres/RDS) alongside distributed systems, ensuring data consistency, efficient indexing, and optimal query performance across the platform.\n\nAI-Native Platform Thinking: Comfort building a platform that both humans and AI agents consume. You should be able to expose data and infrastructure through well-documented, programmatic interfaces (catalogs, metadata, semantic layers, MCP servers, and agent-safe query paths), and you actively use AI coding tools to increase your own throughput.\n\nOpinionated Collaboration & Communication: A strong technical voice who thrives in design reviews. You must be able to articulate complex architectural trade-offs, defend your design choices with data, and professionally challenge the status quo when you see a better way to solve a business problem.\n\nWhat does high performance look like?\n\nExecution & Innovation: You consistently deliver efficient platform enhancements, optimize cloud costs, and increase overall infrastructure performance.\n\nSystem Scalability: You successfully maintain and improve platform components capable of ingesting and querying tens of trillions of data points.\n\nA Team of Doers: You actively participate in peer code reviews, contribute to technical documentation, and elevate engineering standards across the team.\n\nOperational Excellence: You reduce system downtime and latency by establishing robust CI/CD pipelines and proactive alerting mechanisms.\n\nWhat is my potential for career growth?\n\nMentorship opportunities from engineering leadership in Data and Architecture.\n\nBroad exposure across diverse business units within Pattern's global technology organization.\n\nA clear, merit-based career path with potential advancement toward Staff Engineer or Lead Data Platform roles.\n\nOpportunity to drive key technical initiatives that directly shape Pattern's core ecommerce acceleration platform.\n\nInternal promotion priority for high-performing \"Pattern People.\"\n\nWhat does success look like in the first 30, 60, 90 days?\n\nFirst 30 Days: Build context on Pattern's data stack, complete system onboarding, and begin resolving minor infrastructure issues or backlog tickets.\n\nFirst 60 Days: Take ownership of key platform components, optimize pipeline performance, and deliver meaningful reliability improvements.\n\nFirst 90 Days: Independently design and execute platform features, contribute to technical discussions, and actively participate in the team's operational rhythm.\n\nWhat is the team like?\n\nThis role reports directly to the VP of Data and Architecture. You will be joining a growing team of data professionals. In this role, you will collaborate closely with Data Engineers, Backend Software Engineers, and Data Scientists, as well as other departments including Engineering, Product, and Marketing.\n\nSounds great! What’s the company culture?\n\nWe are looking for individuals who are:\n\nGame Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.\n\nData Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.\n\nPartner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.\n\nTeam of Doers- Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.\n\nWhat is the hiring process?\n\nInitial interview with Pattern's talent acquisition team\n\nTechnical video interview with a senior member of the data platform team\n\nOnsite/Panel interview with peers and engineering leadership\n\nProfessional reference checks\n\nExecutive review\n\nOffer\n\nHow can I stand out as an applicant?\n\nStrong Nice-to-Haves: Production Go experience, Spark-on-Kubernetes operations, CDC-based ingestion (Debezium or similar), data catalog and lineage tooling, Snowflake or Databricks depth, and meaningful open-source data tooling contributions.\n\nQuantify Success: During interviews, share tangible achievements using data metrics to demonstrate operational impact and system efficiency gains.\n\nShow Your Ambiguity Muscle: Bring an example of a problem that arrived as one sentence and left as a production system, and be ready to walk through the trade-offs you rejected along the way.\n\nShow Your Passion: Share side projects or personal repositories focused on data engineering, infrastructure automation, or large-scale analytics.\n\nThe \"Partner\" Lens: Articulate clearly how high infrastructure reliability and data platform speed directly enable better outcomes for global ecommerce partners.\n\nWhy should I work at Pattern?\n\nPattern offers big opportunities to make a difference in the ecommerce industry! We are a company full of talented people that evolves quickly and often. We set big goals, work tirelessly to achieve them, and we love our Pattern community. We also believe in having fun and balancing our lives, so we offer awesome benefits that include:\n\n- Unlimited PTO\n- Paid Holidays\n- Onsite Fitness Center\n- Company Paid Life Insurance\n- Casual Dress Code\n- Competitive Pay\n- Health, Vision, and Dental Insurance\n- 401(k) match. Pattern matches 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred.\n\nPattern provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability, status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-09-06T08:22:28.086Z","dateModified":"2026-09-06T08:22:28.086Z","hiringOrganization":{"@type":"Organization","name":"Pattern","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lehi","addressRegion":"UT","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d3ded9d4dcc6a9fed94a4e92"},"url":"https://jobsearcher.com/jobs/d3ded9d4dcc6a9fed94a4e92"}}