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Tech Stack
Tools & technologiesAWSCloudPythonSQL
About the role
Key responsibilities & impact- Design, build, and operationalize data engineering solutions across data layers
- Lead architecture decisions for pipeline frameworks and cloud data storage strategies
- Collaborate with cloud engineering, data governance, and MDM teams
- Mentor and develop data engineers through design reviews and hands-on pairing
- Evaluate and introduce new technologies and architectural patterns
Requirements
What you’ll need- At least 8+, prefers 12+ years in data architecture design and data platform engineering
- Strong experience (At least 3+, prefers 6+ years) with AWS data services and Snowflake Data Cloud
- Proficiency in SQL and Python
- Familiarity with orchestration and scheduling tools, data lineage and observability tools, and data quality platforms
- Ability to work collaboratively with team members
Benefits
Comp & perks- Health insurance plans including Medical, Dental, and Vision coverage
- 401(k) Retirement Plan with a $1 for $1 Company Match up to 5%
- Paid Parental Leave
- Associate Assistance Plan
- Education Assistance Program
- Up to $30,000 in Adoption Assistance
- Up to three weeks of vacation annually
- Generous Holiday, Sick Leave, and Personal Day policies
- New Hire Referral Bonus Program
- Significant Home Purchase Discounts
- Unique opportunities such as the Everyone’s Included Day
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecture designdata platform engineeringAWS data servicesSnowflake Data CloudSQLPythonorchestration toolsscheduling toolsdata lineage toolsdata quality platforms
Soft Skills
leadershipmentoringcollaborationcommunication