Senior Data Engineer - Remote | Snowflake & Platform Lead

Agence PROvidence

California

Remote

USD 130,000 - 170,000

Full time

7 days ago
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Job summary

Providence is seeking an experienced Senior Data Engineer to be part of evolving the organization's enterprise data platform strategy, architecture, governance framework, and modernization initiatives.

This role drives data standards, Snowflake maturity, governance and metadata practices while migrating legacy data assets into a scalable, governed data ecosystem for analytics, reporting, AI, and data products.

Qualifications

  • Bachelor's degree in computer science, Business Management, Information Services, or equivalent.
  • Software development experience preferred.
  • Extensive OO programming experience in C#, Java, Python, or equivalent.
  • SQL integration development with SQL/NoSQL.
  • Experience with Agile and tools such as Azure DevOps, TFS, Jira.
  • Experience designing and implementing large projects.
  • Enterprise data architecture design and platform standards.
  • Data governance & metadata management definitions.
  • Legacy migrations and data modernization programs.
  • Snowflake platform expertise and cost-effective solutions.
  • Data ingestion architectures for APIs, SaaS, CDC, batch, and event-driven sources.
  • DataOps standards including CI/CD and repository governance.

Responsibilities

  • Define data standards, governance framework, and metadata practices.
  • Drive Snowflake platform maturity and secure, scalable solutions.
  • Lead migrations and modernization of legacy data assets.
  • Establish CI/CD, deployment standards, and engineering best practices.

Skills

OO programming
C#/Java/Python
SQL/NoSQL
Agile methodologies
Azure DevOps
TFS
Jira
Data architecture
Data governance
Metadata management
Legacy migration
Snowflake
Data integration
DataOps
CI/CD

Education

Bachelor's degree in Computer Science or related field

Tools

Azure DevOps
TFS
Jira

Job description

Providence is seeking an experienced Senior Data Engineer to be part of evolving the organization's enterprise data platform strategy, architecture, governance framework, and modernization initiatives.

This role drives data standards, Snowflake maturity, governance and metadata practices while migrating legacy data assets into a scalable, governed data ecosystem for analytics, reporting, AI, and data products.

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