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Lead Data Engineer – Azure & Snowflake

Job in Covington, Kenton County, Kentucky, 41011, USA
Listing for: Novasoft
Full Time position
Listed on 2026-06-28
Job specializations:
  • IT/Tech
    Data Engineering, Azure
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Location: Ohio (Preferred) / Remote
Employment Type: Contract / Full-Time
Experience: 10+ Years

Position Overview

We are seeking an experienced Lead Data Engineer – Azure & Snowflake to design, develop, and optimize enterprise‑scale data platforms and cloud‑native data solutions. The ideal candidate will have deep expertise in Azure Data Factory (ADF), Snowflake, DBT, and SQL
, with a strong background in building scalable ETL/ELT pipelines and modern data architectures.

This role requires technical leadership, hands‑on development, and collaboration with cross‑functional teams to deliver high‑quality, data‑driven solutions that support analytics and business intelligence initiatives.

Key Responsibilities
  • Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF), Snowflake, and DBT
    .
  • Build and manage data integration workflows from multiple source systems into Snowflake.
  • Develop efficient and optimized SQL queries for data extraction, transformation, and loading processes.
  • Collaborate with business stakeholders to gather requirements and translate them into scalable technical solutions.
  • Monitor, troubleshoot, and optimize data pipelines to ensure performance, reliability, and scalability.
  • Provide technical leadership, mentorship, and best practices guidance to junior data engineers.
  • Implement and maintain data quality, governance, and documentation standards.
  • Work closely with Data Architects, Analysts, and Dev Ops teams in a cloud‑native environment.
  • Support production deployments, issue resolution, and continuous process improvements.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • 8+ years of experience in Data Engineering, Data Warehousing, or Cloud Data Platforms.
  • Strong hands‑on experience with:
    • Microsoft Azure Cloud Platform
    • Azure Data Factory (ADF)
    • Snowflake
    • SnowSQL
    • DBT (Data Build Tool)
    • SQL and Data Modeling
  • Experience building and supporting large‑scale cloud‑based data environments.
  • Strong understanding of data integration, data warehousing, and ELT/ETL best practices.
  • Excellent analytical, problem‑solving, and communication skills.
Preferred Qualifications
  • Experience with Python or PySpark for custom transformations and automation.
  • Knowledge of CI/CD pipelines and Dev Ops practices for data engineering.
  • Exposure to:
    • Data Governance
    • Metadata Management
    • Data Catalog tools
  • Familiarity with BI and reporting tools such as:
    • Power BI
    • Tableau
Technical Skills
  • Azure Data Factory (ADF)
  • Snowflake & SnowSQL
  • DBT (Data Build Tool)
  • SQL Performance Tuning
  • Data Warehousing
  • ETL/ELT Development
  • Azure Cloud Services
  • Data Modeling
  • Python / PySpark (Preferred)
  • Azure Synapse
  • Azure Data Lake
  • CI/CD & Dev Ops
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