Senior Data Platform Engineer

Senior Data Platform Engineer Location: Austin, TX Worksite: Onsite About WCT WCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world\'s most innovative companies. As a WCT employee, you\'ll be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution. Job Summary WCT is seeking a Senior Data Platform Engineer responsible for designing, developing, enhancing, and supporting enterprise cloud data platform capabilities. This is a senior individual contributor role combining hands-on engineering, solution design, technical leadership, and operational ownership. The engineer will lead major data platform initiatives while also supporting production environments and ensuring platform reliability and operational excellence. The role is expected to be approximately 70% focused on developing new platform capabilities and 30% focused on operations, support, and platform reliability. Primary areas of focus include Azure Databricks, cloud data engineering, platform modernization, automation, governance, and continuous improvement. Key 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, including solution design, technical reviews, tool selection, implementation planning, and production deployment. Partner with data architects and platform leaders to ensure solutions are scalable, secure, governed, cost-conscious, and operationally supportable. Mentor engineers and promote best practices 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 production issues, lead root cause analysis, and implement long-term 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. Required Qualifications 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 architecture, Medallion Architecture, dimensional modeling, data warehousing, and analytics-oriented data structures. Experience with Azure DevOps, Git, CI/CD, automated testing, and deployment practices. Experience with Databricks Asset Bundles 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 initiatives from design through production support. Ability to 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, Associate or Professional level, preferred. Compensation / Salary Range: The typical pay range for this role is: USD $100,000/Yearly - $120,000/Yearly. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits Medical, dental, Vision, Life, PTO, Holidays, 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment. WCT will accept applications and process offers for this role until the position is filled. Equal Employment Opportunity Declaration WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex, including pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.