Lead and mentor a team of data engineers to deliver scalable, efficient, and reliable data solutions.
Design, develop, and maintain ETL / ELT pipelines using Snowflake and Matillion.
Partner with cross-functional teams to gather requirements, define solutions, and ensure timely delivery.
Optimize performance, ensure data quality, and enforce best practices in data architecture and engineering.
Drive continuous improvement in team processes, standards, and technical capabilities.
Develop and maintain clear technical documentation and stakeholder reports.
Communicate effectively with clients to understand business needs and present solutions.
Required Skills & Experience :
Proven expertise with the Snowflake data warehousing platform and advanced SQL scripting.
Hands-on experience with Matillion for ETL / ELT pipeline design, development, and orchestration.
Strong background in data modeling, data warehousing concepts, and performance tuning.
Experience with Change Data Capture (CDC) and real-time / streaming data ingestion.
Proficiency in Python, SQL, and cloud automation.
Knowledge of orchestration and automation frameworks (e.g., Airflow, Azure Data Factory, etc.).
Familiarity with monitoring, alerting, and ensuring data pipeline health and quality.
Experience with Git or other version control systems and data migration best practices.
Excellent communication skills with the ability to interact confidently with clients and stakeholders.
Nice to Have :
Experience with Informatica or Azure Synapse for data integration and migration projects.
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Lead Data Engineer • Dallas, TX, United States
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