Hiring: Lead Databricks Integration Analyst Company: Altria Location: Richmond, VA Job Posted Time: 2026-09-15 14:36:18 Employment Type: Hybrid Target Skills & Keywords : Agile, Azure, CI/CD, Data Pipeline, Databricks, Embedded Systems, Python, SQL, SaaS, Spark About the job Experience: •6+ years of directly related professional experience designing, developing, and supporting enterprise data integrations and data pipelines in production environments. •3+ years of hands-on experience with Databricks, including designing, building, and operating data ingestion and transformation pipelines. Qualifications: •Shape the future of enterprise data integration! •Designing and implementing bi-directional integrations between enterprise sales applications and the Databricks Lakehouse using Databricks-native and Azure integration technologies. •Building, configuring, and optimizing ingestion pipelines for databases, SaaS platforms, file feeds, and streaming data, including change data capture, incremental processing, and schema evolution. •Developing and maintaining transformation pipelines using native Databricks integration tooling (i.e. Spark Declarative Pipelines, Lakeflow Jobs, and Lakehouse Connect), leveraging built-in quality controls, dependency management, and scalable processing patterns. •Establishing and enforcing data quality standards, monitoring, logging, operational support processes, and incident resolution practices for production pipelines. •Partnering with application owners, vendors, and platform teams to establish connectivity, authentication, data contracts, and integration standards. •Leading integration initiatives by providing technical direction, conducting design and code reviews, and mentoring team members on Databricks integration practices. •Translating business requirements into scalable technical solutions while effectively communicating priorities, risks, tradeoffs, and progress to technical and non-technical partners. •Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, and 6+ years of directly related professional experience designing, developing, and supporting enterprise data integrations and data pipelines in production environments. Compensation: •$104,900 - $152,150 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!