{"schemaVersion":"jobsearcher.job.v1","id":"4809709c1c17adcff3fe0b9a","url":"https://jobsearcher.com/jobs/4809709c1c17adcff3fe0b9a","canonicalUrl":"https://jobsearcher.com/jobs/4809709c1c17adcff3fe0b9a","title":"Sr. Databricks Data Engineer","description":"Duration: Long-Term / Renewable EngagementLocation: Remote — Latin America (candidates based in Argentina preferred; Córdoba hub available)Time Zone Requirement: Overlap with US Pacific Time business hours (approx. 11:00 AM–7:00 PM PT); exact schedule to be aligned with the business unit and is open to negotiationStart Date: As soon as candidate is approved by clientAbout MarvellMarvell Technology is a leading semiconductor company specializing in data infrastructure solutions, spanning the data center core to the network edge. Headquartered in Santa Clara, California, Marvell designs and scales complex System-on-a-Chip architectures that power cloud, AI, 5G, enterprise networking, storage, and automotive applications for many of the world's largest hyperscalers and technology companies.Beyond engineering silicon, Marvell runs a large, data-intensive internal operation spanning more than 20 business units worldwide — from microchip engineering to program management and human resources — all of which depend on reliable, well-modeled data to make decisions. This role sits inside that internal data organization, supporting business units directly with hands-on, end-to-end analytics engineering.Our culture is:Fast-paced and dynamic, with priorities and projects that can shift quicklyOwnership-driven, expecting engineers to gather their own requirements and drive work end-to-endData-heavy, working across dozens of heterogeneous sources and formatsGlobal, coordinating daily with leadership and teams based in India and Santa Clara, CaliforniaAbout the RoleWe are seeking a Senior Data Analytics Engineer to support one of Marvell's business units as part of a broader initiative that will place two senior analytics engineers per unit (across 22 business units) so that engineers can back each other up. You will own the full data lifecycle for your unit: gathering requirements directly from business stakeholders, sourcing and ingesting the data you need, modeling it cleanly inside a Databricks-based data lake, and delivering finished, decision-ready reporting.Data sources are highly heterogeneous — spanning SharePoint, Excel files, plain text files, and numerous internal systems feeding a centralized data lake in Databricks — and business domains range from highly technical (microchip engineering data) to operational (PMO project tracking, HR staffing and resource allocation). You will need to learn each domain's data model largely on your own and translate it into something reliable and reportable.What You'll DoGather requirements directly from business unit stakeholders and translate them into a working data pipeline, largely independentlyDesign, build, and maintain end-to-end analytics pipelines: ingestion, transformation, and deliveryIngest and consolidate data from heterogeneous sources — SharePoint, Excel, text files, APIs, and other systems — into a centralized Databricks data lakeBuild and maintain ingestion and transformation jobs using Databricks bundlesModel data cleanly (including dimensional/star-schema modeling) to support reliable, reusable reportingBuild and maintain dashboards and reports in Power BI for weekly business deliveryContinuously cycle requirements with stakeholders: validate data quality, refine existing reports, and identify new analytics opportunitiesAdapt to shifting priorities and occasional project reassignment, while remaining able to pick up support on prior work when neededCollaborate with a PMO function that coordinates deliverables, timelines, and definitions of done across the broader data programCommunicate proactively and clearly with cross-functional stakeholders and leadership based in India and Santa Clara, California — strong, frequent communication is critical to success in this roleEvaluate and responsibly apply AI-assisted tools to speed up data exploration, documentation, code generation, or quality checks within the bounds of the client's security policiesWho You AreHighly proactive and comfortable operating with minimal day-to-day directionStrong, clear communicator — this role has a track record of turnover tied to communication gaps, so this is a critical trait, not a nice-to-haveComfortable in a fast-changing, sometimes unstructured environment where you may be reassigned between projectsCurious and able to learn unfamiliar, domain-specific data models quickly (e.g., microchip engineering data)Analytical and detail-oriented, with strong end-to-end ownership instinctsEffective working across time zones and cultures, including regular interaction with India-based leadershipRequired Experience5+ years of experience in Data Engineering / Analytics Engineering, at a senior levelStrong, hands-on SQL skillsHands-on production experience with Databricks, including Databricks bundles for pipeline deploymentExperience with Snowflake (a plus)Working familiarity with Apache Airflow (optional — high-level understanding is sufficient)Experience building reports and dashboards in Power BIExperience consolidating heterogeneous data sources (SharePoint, Excel, flat files, APIs, databases) into a unified data lake/lakehouseExperience with dimensional data modeling for analytics and reportingDemonstrated ability to work independently, end-to-end, from requirements gathering through deliveryPractical familiarity with AI-assisted tools for data/analytics work (e.g., AI coding assistants, LLM-based data exploration or documentation tools) is a plusTech Stack / ToolsData Processing & Modeling:SQLDatabricks (including Databricks bundles)Dimensional / star-schema data modelingData Platform & Sources:Databricks-based data lakeSnowflakeSharePoint, Excel, and text-file data sourcesOrchestration:Apache Airflow (optional / nice-to-have)Reporting & BI:Power BIAI & Emerging Tools (nice to have):Exposure to AI-assisted development or analytics tools (e.g., AI coding copilots, LLM-based data quality or documentation assistants)Awareness of how AI/ML techniques can support anomaly detection, data quality checks, or automated insight generationComfortable being evaluated through an AI-powered video interview process as part of the selection workflowLanguagesEnglish: High level required (C1 or above) — English is the mandatory, foundational working language for all communication and documentation in this role.Working ConditionsClient-provided laptop with strict, monitored security controls; personal cloud storage or unauthorized file transfers are not permitted on client equipmentReports to leadership based in India and Santa Clara, CaliforniaOccasional opportunity for a company-funded trip to Marvell's Santa Clara, California offices (approximately one to two people per quarter, coordinated through the consultancy)Selection process may include an AI-powered video interview (tool: Eco) evaluating technical strengths/weaknesses and English proficiency, followed by a technical interview with Marvell's data architectsJ-18808-Ljbffr","company":"Willdom Global","rawCompany":"willdom global","city":"Eastern","state":"KY","isRemote":false,"isActive":false,"createdAt":"2026-10-22T13:03:53.523Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr. Databricks Data Engineer","description":"Duration: Long-Term / Renewable EngagementLocation: Remote — Latin America (candidates based in Argentina preferred; Córdoba hub available)Time Zone Requirement: Overlap with US Pacific Time business hours (approx. 11:00 AM–7:00 PM PT); exact schedule to be aligned with the business unit and is open to negotiationStart Date: As soon as candidate is approved by clientAbout MarvellMarvell Technology is a leading semiconductor company specializing in data infrastructure solutions, spanning the data center core to the network edge. Headquartered in Santa Clara, California, Marvell designs and scales complex System-on-a-Chip architectures that power cloud, AI, 5G, enterprise networking, storage, and automotive applications for many of the world's largest hyperscalers and technology companies.Beyond engineering silicon, Marvell runs a large, data-intensive internal operation spanning more than 20 business units worldwide — from microchip engineering to program management and human resources — all of which depend on reliable, well-modeled data to make decisions. This role sits inside that internal data organization, supporting business units directly with hands-on, end-to-end analytics engineering.Our culture is:Fast-paced and dynamic, with priorities and projects that can shift quicklyOwnership-driven, expecting engineers to gather their own requirements and drive work end-to-endData-heavy, working across dozens of heterogeneous sources and formatsGlobal, coordinating daily with leadership and teams based in India and Santa Clara, CaliforniaAbout the RoleWe are seeking a Senior Data Analytics Engineer to support one of Marvell's business units as part of a broader initiative that will place two senior analytics engineers per unit (across 22 business units) so that engineers can back each other up. You will own the full data lifecycle for your unit: gathering requirements directly from business stakeholders, sourcing and ingesting the data you need, modeling it cleanly inside a Databricks-based data lake, and delivering finished, decision-ready reporting.Data sources are highly heterogeneous — spanning SharePoint, Excel files, plain text files, and numerous internal systems feeding a centralized data lake in Databricks — and business domains range from highly technical (microchip engineering data) to operational (PMO project tracking, HR staffing and resource allocation). You will need to learn each domain's data model largely on your own and translate it into something reliable and reportable.What You'll DoGather requirements directly from business unit stakeholders and translate them into a working data pipeline, largely independentlyDesign, build, and maintain end-to-end analytics pipelines: ingestion, transformation, and deliveryIngest and consolidate data from heterogeneous sources — SharePoint, Excel, text files, APIs, and other systems — into a centralized Databricks data lakeBuild and maintain ingestion and transformation jobs using Databricks bundlesModel data cleanly (including dimensional/star-schema modeling) to support reliable, reusable reportingBuild and maintain dashboards and reports in Power BI for weekly business deliveryContinuously cycle requirements with stakeholders: validate data quality, refine existing reports, and identify new analytics opportunitiesAdapt to shifting priorities and occasional project reassignment, while remaining able to pick up support on prior work when neededCollaborate with a PMO function that coordinates deliverables, timelines, and definitions of done across the broader data programCommunicate proactively and clearly with cross-functional stakeholders and leadership based in India and Santa Clara, California — strong, frequent communication is critical to success in this roleEvaluate and responsibly apply AI-assisted tools to speed up data exploration, documentation, code generation, or quality checks within the bounds of the client's security policiesWho You AreHighly proactive and comfortable operating with minimal day-to-day directionStrong, clear communicator — this role has a track record of turnover tied to communication gaps, so this is a critical trait, not a nice-to-haveComfortable in a fast-changing, sometimes unstructured environment where you may be reassigned between projectsCurious and able to learn unfamiliar, domain-specific data models quickly (e.g., microchip engineering data)Analytical and detail-oriented, with strong end-to-end ownership instinctsEffective working across time zones and cultures, including regular interaction with India-based leadershipRequired Experience5+ years of experience in Data Engineering / Analytics Engineering, at a senior levelStrong, hands-on SQL skillsHands-on production experience with Databricks, including Databricks bundles for pipeline deploymentExperience with Snowflake (a plus)Working familiarity with Apache Airflow (optional — high-level understanding is sufficient)Experience building reports and dashboards in Power BIExperience consolidating heterogeneous data sources (SharePoint, Excel, flat files, APIs, databases) into a unified data lake/lakehouseExperience with dimensional data modeling for analytics and reportingDemonstrated ability to work independently, end-to-end, from requirements gathering through deliveryPractical familiarity with AI-assisted tools for data/analytics work (e.g., AI coding assistants, LLM-based data exploration or documentation tools) is a plusTech Stack / ToolsData Processing & Modeling:SQLDatabricks (including Databricks bundles)Dimensional / star-schema data modelingData Platform & Sources:Databricks-based data lakeSnowflakeSharePoint, Excel, and text-file data sourcesOrchestration:Apache Airflow (optional / nice-to-have)Reporting & BI:Power BIAI & Emerging Tools (nice to have):Exposure to AI-assisted development or analytics tools (e.g., AI coding copilots, LLM-based data quality or documentation assistants)Awareness of how AI/ML techniques can support anomaly detection, data quality checks, or automated insight generationComfortable being evaluated through an AI-powered video interview process as part of the selection workflowLanguagesEnglish: High level required (C1 or above) — English is the mandatory, foundational working language for all communication and documentation in this role.Working ConditionsClient-provided laptop with strict, monitored security controls; personal cloud storage or unauthorized file transfers are not permitted on client equipmentReports to leadership based in India and Santa Clara, CaliforniaOccasional opportunity for a company-funded trip to Marvell's Santa Clara, California offices (approximately one to two people per quarter, coordinated through the consultancy)Selection process may include an AI-powered video interview (tool: Eco) evaluating technical strengths/weaknesses and English proficiency, followed by a technical interview with Marvell's data architectsJ-18808-Ljbffr","datePosted":"2026-10-22T13:03:53.523Z","dateModified":"2026-10-22T13:03:53.523Z","hiringOrganization":{"@type":"Organization","name":"Willdom Global","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Eastern","addressRegion":"KY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4809709c1c17adcff3fe0b9a"},"url":"https://jobsearcher.com/jobs/4809709c1c17adcff3fe0b9a"}}