Senior Data Engineer, Snowflake

📋 Description

• 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.

⛳️ Requirements

• 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.

🏝️ Benefits

• Eligible for Medical.

• Dental.

• Vision.

• 401(k).

• Training and certification reimbursement.

• Flexible time off in line with company policies.