Lead Data Engineer

As a Lead Data Engineer joining Logic20/20s AI & Analytics practice youll help clients scale their data solutions and make data-driven decisions while driving enterprise-level innovation.  

Youll work closely with the client to understand their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide your client through best practices in data lake data processing and data pipeline design to help them achieve their business goals.  

You willwork closely withyour team including analysts architects and technical project managers to design solutions and work together to deliver aworld-class solution.  

Youll strike a balance oftechnical skillsand business acumen tohelp clients better understandtheir core needs and what is possible for a future state.  

What youll do:

• Lead end-to-end design and development of data pipelines notebooks lakehouses and warehouses in Microsoft Fabric
• Orchestrate and implement scalable ETL/ELT pipelines integrating structured and unstructured data from multiple sources
• Define and enforce data engineering best practices: data modeling partitioning performance tuning data quality
• Own the CI/CD strategy for Fabric artifacts: Azure DevOps integration deployment pipelines environment promotion (dev/test/prod) automated test scripts validating deployments
• Translate business requirements into technical designs working closely with architects and analysts
• Mentor a team of data engineers conduct code reviews enforce coding/security standards
• Monitor and optimize pipeline performance cost and capacity utilization
• Track the Fabric roadmap and evaluate new features for adoption

Qualifications :

Required:

• 10-15 years of cloud data engineering experience including hands-on experience with Microsoft Fabric.
• 2 years of experience leading technical delivery teams.
• Deep expertise in Microsoft Fabric components including Lakehouse Warehouse Data Factory Notebooks (PySpark/Spark SQL) and Power BI integration.
• Advanced proficiency in Python SQL Spark/PySpark data warehousing dimensional modeling and modern enterprise data platform architectures.
• Experience designing building and migrating cloud-based data platforms using Azure Data Factory Synapse Pipelines and related Azure technologies.
• Hands-on experience with CI/CD DataOps Git-based development deployment automation and Infrastructure as Code (Azure DevOps GitHub Actions Bicep ARM or Terraform).
• Strong understanding of data governance security RBAC automated testing and data quality validation frameworks.
• Excellent consulting communication and client-facing leadership skills with the ability to drive technical decisions mentor engineers and partner effectively with architects project managers and business stakeholders.

Preferred:

• An undergraduate degree in technology or business. 
• Microsoft Certifications (Fabric Data Engineer Azure Fundamentals Azure Data Engineer Associate etc.). 

Additional Information :

At Logic20/20 we believe in recognizing and rewarding exceptional talent. Logic20/20 offers a competitive compensation package with a target base salary range of $173077 - $179863 for this role. The final base salary offered is dependent on factors such as relevant experience skills qualifications and location. Eligible employees may also qualify for performance-based bonuses and other incentives.

All your information will be kept confidential according to EEO guidelines.

Learn more about life at Logic20/20!

Visit our Life at Logic page to explore our culture benefits and what makes Logic20/20 a great place to grow your career!

Core Values 

At Logic20/20 we are guided by three core values: Drive toward Excellence Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employeesand they help us pursue our goal of being one of the best companies to work for and to work with. Learn more at  Opportunity Statement 

We believe that people should be celebrated: for their talents ideas and skills but most of all for what makes them unique. We prohibit harassment and/or discrimination based on age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other basis as protected by federal state or local law. 

To learn more about our DE&I initiatives please visit:  Policy 

During the recruitment and hiring process we gather process and store some of your personal data. We consider data privacy a priority. For further information please view our company privacy policy. 

Remote Work :

Yes

Employment Type :

Full-time