Senior Data Engineer, Snowflake
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Job Description
Sr. Data Engineer designing and implementing scalable data solutions in Snowflake for clients. Collaborating with teams to translate requirements into actionable technical solutions and optimizations.
Responsibilities:
- Design and build scalable, secure, and cost-effective data solutions in Snowflake
- Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services
- Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans
- Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs)
- Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management
- Lead modernization and migration initiatives to move clients from legacy systems into Snowflake
- Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks
- Contribute to internal accelerators, frameworks, and proofs of concept
- Mentor junior engineers and support knowledge sharing across the team
Requirements:
- 7+ years of experience in data engineering, data warehousing, or data architecture
- 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.)
- Strong SQL and Python skills, with production experience using dbt
- Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.)
- Prior experience in a consulting or client-facing delivery role
- Excellent communication skills, with the ability to collaborate across technical and business stakeholders
- Preferred - SnowPro Certification
Benefits:
- Eligible for Medical
- Dental
- Vision
- 401(k)
- training and certification reimbursement
- flexible time off in accordance with company policies
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