Job description

Lead Software Engineer- Azure, Analytics Platform • W2 only - Contract to Hire position • Hybrid T/W/TH onsite, please see location as listed before applying! About the Role We’re (our client is) seeking a Lead Software Engineer to serve as the technical anchor for our Internal Analytics platform — the enterprise’s single source of truth for data and reporting. This role blends hands-on engineering with leadership across multiple data and software domains, including Databricks, ADF, SQL, ETL, data/delta lake architecture, medallion architecture, DevOps, and emerging data technologies. As a technical lead, you’ll guide the design, development, and delivery of data solutions that support self-service analytics and enterprise-scale reporting, ensuring performance, accuracy, and reliability across systems. Responsibilities: • Lead Development Efforts: Design, build, and enhance enterprise-scale data and software solutions. • Technical Leadership: Act as a technical anchor across Databricks, SQL, ADF, ETL, and data modeling technologies. • Agile Collaboration: Participate in requirements gathering, architecture discussions, and Agile ceremonies to ensure consistent sprint delivery. • Quality & Efficiency: Conduct code reviews, enforce standards, and drive CI/CD and Infrastructure as Code practices. • Mentorship & Cross-Functional Work: Mentor engineers and collaborate across teams to maintain performance and integrity of analytics systems. Requirements: • Extensive Experience & Leadership: 8+ years in software development with strong technical leadership and Agile team collaboration. • Azure & Data Engineering Expertise: Deep knowledge of Azure tools (Databricks, ADF, Key Vault, ASQL, ADLS Gen2) and ETL tools like SSIS and Azure Data Factory. • Advanced Data Skills: Proficient in SQL, Python, PySpark, and building scalable data ingestion/curation pipelines; strong grasp of data lake/delta lake and medallion architectures. • Big Data & DevOps Proficiency: Experience with large-scale data, CI/CD pipelines, IaC tools (Terraform/Pulumi), and exposure to Spark, Hadoop, Kafka. • Cross-Functional Collaboration: Skilled in API integration, data modeling, reporting tools (Power BI/Tableau), and .NET knowledge for team synergy.

Requirements