Lead Data Engineer

Job Title: Lead Data Engineer (Azure/Python) 
Location- USA (Ohio/Remote) 
Long term Project

Required Skills & Qualifications 
Data Engineering Expertise: Proven track record in core Data Engineering principles, data modeling, and data warehouse/data lake architecture. 
Core Programming: Exceptional proficiency in Python, SQL, Polars, and DuckDB. 
Cloud Infrastructure: Deep familiarity with the Azure Environment, including deploying and managing Azure Containers. 
DevOps & Automation: Strong practical knowledge of CI/CD pipelines (Azure DevOps) and Docker/containerization. 
Security Acumen: Solid understanding of cloud security, specifically in configuring Azure roles, identities, and access management. 
Domain Knowledge: Previous experience working with Fintech industry data, understanding its unique security and analytical requirements. 
Communication: Excellent communication skills with the ability to translate technical concepts to BI teams and business stakeholders. 
Team Leadership: Should have experience managing a team of 4-5 Data Engineers 
Collaboration: Strong capabilities of collaborating with Senior Stakeholder, Product Owner and team 
Consultative Mindset: Capabilities to provide an optimized solution and have FinTech and Wealth Management domain understanding 
Overall Experience: Overall, 8-10 Years of experience with minimum of 5-6 years of experience working on Data lake solutions 
Preferred Qualifications 
Familiarity with Microsoft Dynamics, Salesforce, or similar CRM platforms. 
Knowledge of Azure Data Factory (ADF) for data integration. 
Experience with Microsoft Purview for unified data governance. 
Technology Experience 
Processing: Python, Polars, DuckDB, SQL 
Cloud & Infrastructure: Azure Environment, Azure Containers (Docker) 
CI/CD: Azure DevOps 
BI & Analytics: Power BI