Lead Snowflake Data Engineer

  • Charlotte, NC
  • Posted 7 hours ago | Updated 7 hours ago

Overview

Hybrid
Depends on Experience
Contract - W2

Skills

Data Modeling
Data Warehouse
Google Cloud Platform
Amazon Web Services
Scala
Root Cause Analysis
RBAC
ELT

Job Details

Job Title: Lead Snowflake Data Engineer

Client: Becton Dickinson

Employer TEKsystems Inc

Location: Hybrid Hartford, NC or Charlotte, NC

H-1B, OPT, and CPT candidates please do not apply.

Responsibilities

  • Lead data engineering initiatives and provide technical direction, mentorship, and code review for the team.
  • Design, build, and optimize data pipelines and ETL/ELT workflows within Snowflake.
  • Architect scalable data warehouse solutions and ensure alignment with enterprise data standards.
  • Work closely with cross-functional stakeholders including Data Architects, Analysts, and Product/Business teams.
  • Implement best practices around data modeling, performance tuning, and warehouse optimization.
  • Develop and maintain SQL, stored procedures, and automation workflows.
  • Integrate Snowflake with cloud platforms, BI tools, streaming services, and source systems.
  • Manage data quality, security, and governance considerations across pipelines.
  • Troubleshoot complex data issues and drive root-cause analysis and long-term fixes.
  • Continue to be hands-on while providing leadership and guidance.

Required Skills & Experience

  • 8+ years of professional Data Engineering experience.
  • 3+ years of recent, hands-on experience with Snowflake (Snowpipe, Streams/Tasks, Warehouses, RBAC, Time Travel, etc.).
  • Strong mastery of SQL, data modeling (dimensional & relational), and ELT/ETL design.
  • Experience leading technical teams or projects, conducting code reviews, and mentoring engineers.
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (preferably AWS).
  • Experience with Python or Scala for pipeline development.
  • Experience with orchestration / workflow tools (e.g., Airflow, DBT, Informatica, Matillion, or similar).
  • Understanding of DevOps and CI/CD practices for data engineering.
  • Excellent communication skills and ability to collaborate across business and technical teams.

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