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Lead Software Engineer- Azure, Analytics Platform
Lead Software Engineer- Azure, Analytics PlatformThe Planet Group • Irving, TX, United States
Lead Software Engineer- Azure, Analytics Platform

Lead Software Engineer- Azure, Analytics Platform

The Planet Group • Irving, TX, United States
1 day ago
Job type
  • Full-time
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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