Senior Snowflake Data Architect - ELT & Cloud Analytics

Kforce Inc

Boston (MA)

On-site

USD 120,000 - 180,000

Full time

22 hours ago
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Benefits offered by this job

Medical/dental/vision insurance
HSA/FSA benefits
401(k)

Job summary

Kforce Inc. in Boston, MA seeks a Snowflake Data Consultant to design, build, and optimize cloud-based data solutions. You will lead ELT pipelines, implement data governance, and work with stakeholders to translate requirements into scalable data architectures.

The role emphasizes hands-on Snowflake development, SQL optimization, and collaboration across teams in an Agile environment, with a focus on data quality and production support.

Qualifications

  • 7+ years in Data Engineering, Data Warehousing, or ETL/ELT

Responsibilities

  • Design, develop, and maintain scalable cloud-based data solutions and ELT pipelines
  • Collaborate with business and technical stakeholders to gather requirements and deliver data-driven solutions
  • Build and optimize data integration, transformation, and ingestion processes
  • Develop and maintain complex SQL, data models, database objects, and automation workflows
  • Support real-time and batch data processing initiatives
  • Monitor, troubleshoot, and optimize data platform performance
  • Implement data quality, governance, and security best practices
  • Participate in Agile development activities, including planning, testing, code reviews, and deployments
  • Support production environments and resolve data-related issues
  • Contribute to process improvements, architecture discussions, and technical best practices

Skills

SQL development
Python
Data modeling
Agile

Tools

Snowflake

Job description

Kforce Inc. in Boston, MA seeks a Snowflake Data Consultant to design, build, and optimize cloud-based data solutions. You will lead ELT pipelines, implement data governance, and work with stakeholders to translate requirements into scalable data architectures.

The role emphasizes hands-on Snowflake development, SQL optimization, and collaboration across teams in an Agile environment, with a focus on data quality and production support.

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