The Planet Group
Lead Software Engineer- Azure, Analytics Platform
The Planet Group, Irving, Texas, United States, 75084
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
Were
(our client is)
seeking a
Lead Software Engineer
to serve as the technical anchor for our Internal Analytics platform the enterprises 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, youll 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.
(our client is)
seeking a
Lead Software Engineer
to serve as the technical anchor for our Internal Analytics platform the enterprises 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, youll 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.