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Senior Data Platform Engineer - Databricks - Contract

Atlantic Partners Corporation
  • Austin, TX
  • Instant Apply
23 days ago

Job Description



Description

The Senior Data Platform Engineer is a senior individual contributor responsible for designing, developing, enhancing, and supporting enterprise cloud data platform capabilities. Reporting to the Sr. Director of Data Platform Transformations & Operations, this role combines hands-on engineering, solution design, and operational ownership to deliver scalable, secure, and reliable solutions. The engineer serves as a technical lead on major initiatives while remaining accountable for production support and operational excellence.
The role supports platform transformation and steady-state operations, with approximately 70% focused on development of new capabilities and 30% on operations, support, and platform reliability. Primary areas include Azure Databricks, cloud data engineering, platform modernization, automation, governance, and continuous improvement.

Responsibilities
  • Design, develop, and maintain scalable data pipelines, ingestion frameworks, transformation processes, and reusable data products using Azure Databricks, PySpark, SQL, and Delta Lake.
  • Implement Bronze, Silver, and Gold architecture patterns supporting enterprise reporting, analytics, AI, and self-service data consumption.
  • Build reusable frameworks, utilities, and platform components that improve engineering productivity, quality, consistency, and deployment speed.
  • Develop and support batch, near-real-time, and streaming integration solutions, including modernization of legacy warehouse and ETL workloads.
  • Serve as technical lead for complex initiatives; develop solution designs, lead technical reviews, recommend tools and approaches, and guide work through production implementation.
  • Partner with data architects and platform leaders to ensure solutions are scalable, secure, governed, cost-conscious, and operationally supportable.
  • Mentor engineers and promote standards for coding, testing, documentation, performance, and production readiness.
  • Implement data quality, validation, reconciliation, monitoring, metadata, and lineage capabilities; support RBAC and enterprise security controls.
  • Build and maintain CI/CD, automated testing, deployment, and release processes using Azure DevOps and Git-based practices.
  • Contribute to platform observability, alerting, operational dashboards, health metrics, performance tuning, and cost optimization.
  • Participate in production support, incident response, pager, and on-call rotations; troubleshoot issues, lead root cause analysis, and implement durable remediation.
  • Create and maintain operational runbooks, support procedures, technical documentation, and knowledge-sharing assets.
  • Collaborate with architecture, governance, security, analytics, application, and business teams to translate requirements into scalable platform solutions.
  • Support technical discovery, estimation, roadmap planning, delivery execution, and evaluation of emerging cloud, data, and AI capabilities.
Job Requirements

Education
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
  • Master's degree preferred.

Experience
  • 10+ years of experience in data engineering, data warehousing, or data platform engineering.
  • 5+ years of experience designing or implementing cloud-based data warehouse, data lake, or data platform solutions.
  • 3+ years of hands-on Azure Databricks experience in enterprise production environments.
  • Experience with ETL/ELT development, data modeling, large-scale integration, and cloud platform modernization.
  • Experience leading technical implementations, solution design, design reviews, and production releases.
  • Experience supporting production environments, incident response, root cause analysis, and operational support processes.
  • Experience in regulated, financial services, banking, or audit-sensitive environments preferred.

Skills & Competencies
  • Advanced proficiency in SQL, Python, PySpark, and Spark performance optimization.
  • Strong experience with Azure Databricks, Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables.
  • Strong understanding of lakehouse, Medallion Architecture, dimensional modeling, data warehousing, and analytics-oriented data structures.
  • Experience with Azure DevOps, Git, CI/CD, automated testing, and deployment practices; Databricks Asset Bundles experience preferred.
  • Experience implementing data quality, validation, reconciliation, monitoring, metadata, lineage, governance, and security controls.
  • Strong technical leadership, solution design, analytical, troubleshooting, and problem-solving skills.
  • Ability to independently lead complex work from design through production support and balance innovation with reliability, security, cost, and supportability.
  • Excellent collaboration, mentoring, documentation, and communication skills across technical and business teams.
  • Experience with Power BI, MicroStrategy, MDM, streaming architectures, infrastructure automation, or AI-assisted development preferred.
  • Databricks Data Engineer certification at the Associate or Professional level preferred.

Numbers & Facts

LocationAustin, TX

Skills

  • Analysis Skillsunmatched
  • Artificial Intelligence (AI)unmatched
  • Automationunmatched
  • Banking Servicesunmatched
  • Cisco Unityunmatched
  • Cloud Computingunmatched
  • Communication Skillsunmatched
  • Computer Scienceunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Improvementunmatched
  • Continuous Integrationunmatched
  • Cost Controlunmatched
  • Data Analysisunmatched
  • Data Lakeunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Scienceunmatched
  • Data Structuresunmatched
  • Data Warehousingunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • DevOpsunmatched
  • Dimensional Modelingunmatched
  • Documentationunmatched
  • Enterprise Protectionunmatched
  • Financial Servicesunmatched
  • Gitunmatched
  • Identify Issuesunmatched
  • Incident Responseunmatched
  • Leadershipunmatched
  • Manufacturing Data Managementunmatched
  • Mentoringunmatched
  • Metadataunmatched
  • MicroStrategyunmatched
  • Microsoft Windows Azureunmatched
  • On Callunmatched
  • Operational Auditunmatched
  • Operational Supportunmatched
  • Operations Processesunmatched
  • Pagerunmatched
  • Performance Metricsunmatched
  • Performance Tuning/Optimizationunmatched
  • Power BIunmatched
  • Problem Solving Skillsunmatched
  • Production Supportunmatched
  • Production Systemsunmatched
  • Productivity Managementunmatched
  • Python Programming/Scripting Languageunmatched
  • Quality Assurance Methodologyunmatched
  • Reconciliationunmatched
  • Reporting Dashboardsunmatched
  • Requirements Managementunmatched
  • Root Cause Analysisunmatched
  • SQL (Structured Query Language)unmatched
  • Scalable System Developmentunmatched
  • Security Analysisunmatched
  • Software Engineeringunmatched
  • Systems Engineeringunmatched
  • Technical Leadershipunmatched
  • Technical Supportunmatched
  • Technical Writingunmatched
  • Technical/Engineering Designunmatched
  • Test Automationunmatched
  • Testingunmatched
  • Warehousingunmatched

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