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.

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