
Senior Data Engineer, Snowflake
Posted May 6

Posted May 6
• Design and develop scalable, secure, and cost-efficient data solutions within Snowflake.
• Create and enhance data pipelines utilizing tools such as dbt, Python, CloverDX, and cloud-native services.
• Engage in discovery sessions with clients to collect requirements and convert them into solution designs and project plans.
• Work alongside engagement managers and account teams to define project scope and offer technical insights for Statements of Work (SOWs).
• Act as a Snowflake subject matter expert, providing guidance on best practices related to performance tuning, cost management, access control, and workload optimization.
• Spearhead modernization and migration projects to transition clients from legacy systems to Snowflake.
• Integrate Snowflake with business intelligence tools, governance platforms, and AI/ML frameworks.
• Contribute to internal accelerators, frameworks, and proofs of concept.
• Mentor junior engineers and facilitate knowledge sharing within the team.
• Over 7 years of experience in data engineering, data warehousing, or data architecture.
• More than 3 years of practical experience with Snowflake (including performance tuning, data sharing, Snowpark, Snowpipe, etc.).
• Proficient in SQL and Python, with production experience in using dbt.
• Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tools (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
• Previous experience in a consulting or client-facing delivery role.
• Strong communication skills, capable of collaborating with both technical and business stakeholders.
• Preferred: SnowPro Certification.
• Eligible for Medical.
• Dental.
• Vision.
• 401(k).
• Training and certification reimbursement.
• Flexible time off in line with company policies.
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