> Markdown version of [/jobs/ext/2527549-snowflake-lead-data-engineering](https://www.wearedevelopers.com/jobs/ext/2527549-snowflake-lead-data-engineering). 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). --- # Snowflake Lead Data Engineering - **Company:** Siri InfoSolutions Inc - **Location:** Dallas, TX, United States - **Experience:** Expert - **Salary:** $120,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Cloud Computing, Continuous Integration, Information Engineering, Data Governance, Data Masking, Data Transformation, IBM DB2, Python (Programming Language), Mainframes, Metadata, Microsoft SQL Server, Oracle (Applications), Performance Tuning, Role-Based Access Control, Virtual Storage Access Methods, Data Ingestion, Sql Optimization, Snowflake, Gitlab, Pyspark, Deployment Automation, Qlikview, Database Replication, Data Pipelines - **Published:** August 10, 2026 - **Apply:** https://www.careerjet.com/jobad/us617627db3cf5e34a799191f1ee72c3e9 ## About the Role * hands-on experience in Data Engineering. * Strong expertise in Snowflake, Qlik Replicate, DBT Cloud, Astronomer Airflow, Python, and PySpark. * Experience designing and building scalable data pipelines, CDC, and database replication. * Hands-on experience with Snowpipe, Tasks, Streams, Dynamic Tables, advanced SQL, and schema evolution. * Expertise in file/API ingestion, metadata-driven frameworks, and data transformation. * Strong knowledge of Snowflake Data Masking, RBAC, data governance, and Protegrity/tokenization. * Experience with GitLab, CI/CD, monitoring, performance tuning, and DevOps automation. * Knowledge of Oracle, SQL Server, DB2, and Mainframe VSAM data ingestion is preferred. Strong analytical, troubleshooting, and communication skills ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)