> Markdown version of [/jobs/ext/4157043-database-technical-lead](https://www.wearedevelopers.com/jobs/ext/4157043-database-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Database Technical Lead - **Company:** Resourcesoft, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Dimensional Modeling, Apache Hive, Python (Programming Language), Cloud Services, SQL Databases, Data Streaming, Apache Spark, Git, Data Lakes, Pyspark, Data Pipelines, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.dice.com/job-detail/060bdccf-bfcd-4452-b88f-14198185c7b5 ## About the Role * 8 years or more experience in Databricks, AWS, data engineering, and lakehouse architecture leadership * Proficiency in Apache Spark, PySpark, Spark SQL, Python, SQL, and Delta Lake * Experience in designing scalable batch, streaming, and event-driven data pipelines * Experience with CI/CD, Git, automated testing, data quality frameworks, and observability * Experience in data architecture, dimensional modeling, governance, lineage, and cloud data platforms * Excellent verbal and written communication skills ## Description * Lead architecture and delivery of enterprise-scale lakehouse and cloud data solutions * Design reusable data pipelines supporting analytics, reporting, AI/ML, and operational workloads * Translate business requirements into technical architectures, delivery plans, and engineering patterns * Guide engineering teams through solution reviews, technical standards, and implementation strategies * Coordinate vendors and cross-functional teams to ensure high-quality data platform delivery * Drive adoption of AI-assisted engineering, automation, and modern data platform capabilities