Senior Data Engineer

RHL Technologies is seeking a Senior Data Engineer to help lead enterprise cloud data platform capabilities, with a strong focus on Azure Databricks and end-to-end platform modernization. This role balances hands-on development and production operations, with approximately 70% building and 30% supporting platform reliability and service needs.

Based in Austin, TX (hybrid) (about 78746), you will design and deliver scalable data pipelines and reusable data products, strengthen governance and observability, and support regulated, audit-sensitive workloads where applicable.

What you’ll do

• 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 to support enterprise reporting, analytics, AI, and self-service data consumption.
• Build reusable frameworks, utilities, and platform components to improve 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.
• Act as technical lead for complex initiatives by creating solution designs, leading technical reviews, recommending tools and approaches, and guiding work into production implementation.
• Partner with data architects and platform leaders to deliver solutions that 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 and validation, reconciliation, monitoring, metadata, and lineage capabilities, including 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 through alerting, operational dashboards, health metrics, performance tuning, and cost optimization.
• Participate in production support, incident response, pager, and on-call rotations, including issue troubleshooting, root cause analysis, and 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 platform solutions.
• Support technical discovery, estimation, roadmap planning, delivery execution, and evaluation of emerging cloud, data, and AI capabilities.

Required qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
• 10+ years of experience in data engineering, data warehousing, or data platform engineering.
• 5+ years designing or implementing cloud-based data warehouse, data lake, or data platform solutions.
• 3+ years 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.

Tools and technologies

• Azure Databricks, PySpark, SQL, Delta Lake
• Bronze, Silver, Gold, ETL, ELT
• Azure DevOps, Git-based practices
• Unity Catalog, Databricks Workflows, Delta Live Tables
• RBAC, Power BI, MicroStrategy, MDM

Additional notes

• Salary: USD 75 - 85 per hour
• Location: Hybrid remote in Austin, TX 78746
• Education: Bachelor’s degree required; Master’s degree preferred
• Application screening questions include: local to Austin, comfort attending a face-to-face interview in Austin, strong Python with SQL & Databricks, comfort with a 90-minute HackerRank coding test, and whether sponsorship is needed now or in the future for work in the United States