{"id":694247,"url":"https://alion.io/job/bayrocklabs-principal-data-engineer","title":"Principal Data Engineer","company":{"id":669117,"name":"BayRock Labs 4S Framework","domain":"bayrocklabs.com","url":"https://alion.io/company/bayrocklabs","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"D","score":40,"open_postings":12,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Milpitas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":125000,"max_usd":245000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"GDPR","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Master Data Management","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Teradata","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-03-12T19:14:17Z","employer_posted_date":"2026-03-12","last_verified_at":"2026-11-02T07:33:12Z","board_verified":true,"closed_at":null,"days_open":234,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":234},"description":"About BayRock Labs\nAt BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting-edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work-life balance. Join us to work on ground-breaking projects and be part of a team that values excellence, integrity, and innovation. Together, let's redefine what's possible in technology.\n We are looking for a highly skilled Senior Data Engineer / Data Architect with deep hands-on expertise in Azure, Databricks, PySpark, Python, SQL, and modern data warehousing. This role is ideal for someone who has built large-scale data platforms, designed enterprise-grade architectures, and delivered high-quality data products in cloud environments.\nCore Technical Expertise\nAzure Cloud Platform\nADLS Gen2, ADF, Synapse, Azure SQL, Key Vault, App Services\nCloud-native architecture design, scalability, and cost optimization\nSecurity & governance: RBAC, Managed Identity, Private Endpoints\nDatabricks Engineering\nEnd-to-end development on Azure Databricks\nLakehouse architecture implementation\nDelta Live Tables (DLT), Unity Catalog\nPerformance tuning, cluster optimization\nCI/CD for Databricks workloads\nBig Data & Processing Frameworks\nApache Spark with advanced PySpark transformations\nStructured Streaming & batch data pipelines\nDelta Lake architecture & optimization\nProgramming & Querying\nPython for automation, data engineering, and orchestration\nPySpark for distributed data processing\nSQL for complex query optimization and analytics engineering\nData Architecture & Engineering\nEnterprise Data Warehouse (EDW) architecture\nDimensional modeling (Star/Snowflake)\nData Vault 2.0 modeling\nMetadata-driven ingestion frameworks\nChange Data Capture (CDC) implementation\nMedallion architecture (Bronze/Silver/Gold)\nData lineage, governance, cataloging\nMaster Data Management (MDM)\nData Products & Analytics Enablement\nDesign and delivery of scalable data products\nBusiness-aligned semantic layer design\nKPI frameworks & enterprise reporting enablement\nIntegration of ERP, SaaS, and operational systems\nHybrid Lakehouse + EDW architectures\nDevOps & Engineering Practices\nCI/CD pipelines (Azure DevOps, GitHub Actions, Bitbucket)\nInfrastructure as Code (Terraform, ARM templates)\nAutomated testing (unit, integration, data quality)\nMonitoring, logging, and observability\nAgile/Scrum delivery\nStrategic & Leadership Impact\nPrincipal-level solution architecture design\nCross-functional stakeholder collaboration\nTechnical roadmap planning and execution\nGuidance on data governance frameworks (GDPR, SOX)\nCloud cost optimization strategies\nMigration from legacy EDWs (Teradata, Oracle, SQL Server) to Lakehouse\nIdeal Candidate Profile\n5-10+ years of hands-on experience in data engineering or data architecture\nStrong expertise in Azure + Databricks ecosystem\nProven experience building scalable, secure, high-performance data platforms\nAbility to lead design discussions, influence architecture decisions, and mentor teams\nStrong problem-solving mindset and passion for modern data engineering","description_format":"text","description_chars":3239,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & 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