Senior Data Engineer

· Design and develop scalable batch and real-time data pipelines using Snowflake, dbt, and Apache Kafka.

· Build reusable dbt models, macros, tests, snapshots, and technical documentation.

· Implement ELT processes for structured and semi-structured data.

· Optimize Snowflake queries, virtual warehouses, storage, and overall platform performance.

· Integrate Kafka topics with Snowflake and downstream applications using event-driven patterns.

· Implement data-quality checks, monitoring, lineage, reconciliation, and operational controls.

· Support CI/CD automation and production deployment of data pipelines.

· Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks.

We are seeking a Senior Data Engineer with strong hands-on experience in Snowflake, dbt, and Apache Kafka to design and develop scalable data pipelines, real-time streaming solutions, and cloud-based data platforms. The role requires close collaboration with architects, analysts, product owners, and business teams at the Plano location., · 8+ years of experience in data engineering or data platform development.

· Strong hands-on experience with Snowflake, including Streams, Tasks, Snowpipe, and performance tuning.

· Advanced experience with dbt development, testing, documentation, and deployment best practices.

· Hands-on experience with Apache Kafka and event-driven architectures.

· Strong SQL, data modeling, and data warehousing skills.

· Experience with Python, Git, and CI/CD pipelines.

· Strong analytical, troubleshooting, communication, and collaboration skills.

· Ability to work onsite in Plano, Texas.

·· Experience in banking or financial services.

· Knowledge of Kafka Connect, Schema Registry, and stream-processing frameworks.

· Experience with AWS or Azure cloud services.

· Familiarity with data governance, lineage, security, and regulatory requirements.

· Snowflake, dbt, or Kafka certification is a plus.