{"schemaVersion":"jobsearcher.job.v1","id":"647643972a5cc9719aa7f032","url":"https://jobsearcher.com/jobs/647643972a5cc9719aa7f032","canonicalUrl":"https://jobsearcher.com/jobs/647643972a5cc9719aa7f032","title":"Senior Software Engineer, Data Platform","description":"About UsAt Parafin, we're on a mission to grow small businesses.\r\nSmall businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.\r\nWe partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.\r\nWe're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.\r\nJoin us in creating a future where every small business has the financial tools they need.\r\nAbout The PositionWe're looking for a seasoned software engineer to join Parafin's Infrastructure team and lead the development of our next-generation Data Platform. This role is critical to ensuring that our data infrastructure is reliable, scalable, and developer-friendly as we continue to power financial services for small businesses.\r\nAs a Senior Software Engineer, you'll be responsible for designing, building, and maintaining the systems that ingest, transform, and serve data across the company. You'll partner closely with Data Science, Platform Engineering, and Product Engineering teams to support data-driven product development and decision-making.\r\nWhat You'll DoDesign and build robust, highly scalable data pipelines and lakehouse infrastructure with PySpark, Databricks, and Airflow on AWS.\r\nImprove the data platform development experience for Engineering, Data Science, and Product by creating intuitive abstractions, self-service tooling, and clear documentation.\r\nOwn and maintain core data pipelines and models that power internal dashboards, ML models, and customer-facing products.\r\nOwn the Data & ML platform infrastructure using Terraform, including end-to-end administration of Databricks workspaces: manage user access, monitor performance, optimize configurations (e.g., clusters, lakehouse settings), and ensure high availability of data pipelines.\r\nLead projects to improve data quality, testing, observability, and cost efficiency across existing pipelines and backend systems (e.g., migrating Databricks SQL pipelines to dbt, scaling data ingestion, improving data-lineage tracking, and enhancing monitoring).\r\nAct as the primary engineering partner for the Data Science team—embedded closely to gather requirements, design scalable solutions, and provide end-to-end support on all engineering aspects of their work.\r\nWork closely with backend engineers and data scientists to design performant data models and support new product development initiatives.\r\nShare best practices and mentor other engineers working on data-centric systems.\r\nRequirements4+ years of experience in software engineering with a strong background in data infrastructure, pipelines, and distributed systems.\r\nAdvanced proficiency in Python and SQL.\r\nHands-on Spark development experience.\r\nExpertise with modern cloud data stacks—AWS (S3, RDS), Databricks, and Airflow—and lakehouse architectures.\r\nHands-on experience with foundational data-infrastructure technologies such as Hadoop, Hive, Kafka (or similar streaming platforms), Delta Lake/Iceberg, and distributed query engines like Trino/Presto.\r\nFamiliarity with ingestion frameworks, developer-experience tooling, and best practices for data versioning, lineage, partitioning, and clustering.\r\nStrong problem-solving skills and a proactive attitude toward ownership and platform health.\r\nExcellent communication and collaboration skills, especially in cross-functional settings.\r\nNice to HaveExperience with AWS infrastructure using Terraform.\r\nFamiliarity with observability tools (e.g., Datadog) and cost tracking in cloud environments.\r\nExperience with financial systems or building platforms in a fintech setting.\r\nPrior work on ML infrastructure: Feature stores (e.g., Tecton), ML model lifecycle (training, deployment, monitoring, retraining), real-time inference.\r\nContributions to internal tooling or open-source projects in the data ecosystem.\r\nWhat We OfferSalary Range: $220k-$265k\r\nEquity grant\r\nMedical, dental & vision insurance\r\nWork from home flexibility\r\nUnlimited PTO\r\nCommuter benefits\r\nFree lunches\r\nPaid parental leave\r\n401(k)\r\nEmployee assistance program#J-18808-Ljbffr","company":"Unchain Data","rawCompany":"unchain data","city":"Millbrae","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-11-04T02:54:49.033Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Software Engineer, Data Platform","description":"About UsAt Parafin, we're on a mission to grow small businesses.\r\nSmall businesses are the backbone of our economy, but traditional banks often don't have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.\r\nWe partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.\r\nWe're a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.\r\nJoin us in creating a future where every small business has the financial tools they need.\r\nAbout The PositionWe're looking for a seasoned software engineer to join Parafin's Infrastructure team and lead the development of our next-generation Data Platform. This role is critical to ensuring that our data infrastructure is reliable, scalable, and developer-friendly as we continue to power financial services for small businesses.\r\nAs a Senior Software Engineer, you'll be responsible for designing, building, and maintaining the systems that ingest, transform, and serve data across the company. You'll partner closely with Data Science, Platform Engineering, and Product Engineering teams to support data-driven product development and decision-making.\r\nWhat You'll DoDesign and build robust, highly scalable data pipelines and lakehouse infrastructure with PySpark, Databricks, and Airflow on AWS.\r\nImprove the data platform development experience for Engineering, Data Science, and Product by creating intuitive abstractions, self-service tooling, and clear documentation.\r\nOwn and maintain core data pipelines and models that power internal dashboards, ML models, and customer-facing products.\r\nOwn the Data & ML platform infrastructure using Terraform, including end-to-end administration of Databricks workspaces: manage user access, monitor performance, optimize configurations (e.g., clusters, lakehouse settings), and ensure high availability of data pipelines.\r\nLead projects to improve data quality, testing, observability, and cost efficiency across existing pipelines and backend systems (e.g., migrating Databricks SQL pipelines to dbt, scaling data ingestion, improving data-lineage tracking, and enhancing monitoring).\r\nAct as the primary engineering partner for the Data Science team—embedded closely to gather requirements, design scalable solutions, and provide end-to-end support on all engineering aspects of their work.\r\nWork closely with backend engineers and data scientists to design performant data models and support new product development initiatives.\r\nShare best practices and mentor other engineers working on data-centric systems.\r\nRequirements4+ years of experience in software engineering with a strong background in data infrastructure, pipelines, and distributed systems.\r\nAdvanced proficiency in Python and SQL.\r\nHands-on Spark development experience.\r\nExpertise with modern cloud data stacks—AWS (S3, RDS), Databricks, and Airflow—and lakehouse architectures.\r\nHands-on experience with foundational data-infrastructure technologies such as Hadoop, Hive, Kafka (or similar streaming platforms), Delta Lake/Iceberg, and distributed query engines like Trino/Presto.\r\nFamiliarity with ingestion frameworks, developer-experience tooling, and best practices for data versioning, lineage, partitioning, and clustering.\r\nStrong problem-solving skills and a proactive attitude toward ownership and platform health.\r\nExcellent communication and collaboration skills, especially in cross-functional settings.\r\nNice to HaveExperience with AWS infrastructure using Terraform.\r\nFamiliarity with observability tools (e.g., Datadog) and cost tracking in cloud environments.\r\nExperience with financial systems or building platforms in a fintech setting.\r\nPrior work on ML infrastructure: Feature stores (e.g., Tecton), ML model lifecycle (training, deployment, monitoring, retraining), real-time inference.\r\nContributions to internal tooling or open-source projects in the data ecosystem.\r\nWhat We OfferSalary Range: $220k-$265k\r\nEquity grant\r\nMedical, dental & vision insurance\r\nWork from home flexibility\r\nUnlimited PTO\r\nCommuter benefits\r\nFree lunches\r\nPaid parental leave\r\n401(k)\r\nEmployee assistance program#J-18808-Ljbffr","datePosted":"2026-11-04T02:54:49.033Z","dateModified":"2026-11-04T02:54:49.033Z","hiringOrganization":{"@type":"Organization","name":"Unchain Data","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"647643972a5cc9719aa7f032"},"url":"https://jobsearcher.com/jobs/647643972a5cc9719aa7f032"}}