Sr Data Engineer (Snowflake, SnowPark, SnowPipe)

JOB DETAIL We are seeking a highly skilled and experienced Senior Data Engineer to design and build a robust set of data ingestion and processing pipelines, maintaining best practices for a data lakehouse architecture. This is a highly visible, client-facing role that requires a blend of technical expertise, architectural leadership, and strong communication skills. You'll be the technical lead, working closely with team members to deliver innovative data solutions that support analytics, machine learning, and real-time decision-making. Key Responsibilities • Lead the design, implementation, and maintenance of scalable data lakehouse platforms using modern tools like Databricks, Snowflake, and Apache Iceberg. • Develop and optimize high-performance batch and streaming ETL/ELT pipelines, with a strong focus on Snowflake, Snowpipe, and Snowpark. • Act as a technical leader, managing architecture discussions and leading conversations with both internal teams and external clients. • Implement and enforce data quality, governance, and security best practices to ensure data integrity and compliance. • Identify opportunities to integrate platform-level AI tools (like those in Snowflake, Databricks, and Fabric) to outpace traditional data science efforts and deliver faster, more impactful insights. • Collaborate with cross-functional teams, including data scientists and business stakeholders, to deliver high-quality, business-critical datasets. Qualifications • Slowflake experience/proficiency is critical. • Azure experience is preferred, but Google Cloud and AWS okay • 5+ years of professional experience in data engineering. • Strong technical leadership and excellent communication skills, with proven experience in a client-facing role. • Deep expertise in cloud data platforms, with significant hands-on experience in Snowflake. • Demonstrated experience with data lakehouse design patterns and modern data architectures.