Data Warehouse Engineering Manager

Mogi I/O : OTT/Podcast/Short Video Apps for you; Decatur (GA); On-site; USD 82,000 - 123,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

Paid vacation, sick leave, holidays

Employer-matched 401(k)

Life and disability insurance

Job summary

A leading software development company in Decatur, Georgia is seeking a Senior/Lead Data Engineer with at least 8 years of experience in data engineering. The role requires expertise in Azure and Databricks, along with strong skills in data modeling and performance tuning. Responsibilities include architecting scalable data platforms and collaborating with teams to create technical solutions. The position offers comprehensive benefits including health insurance and a 401(k) plan.

Qualifications

• 8+ years of enterprise data engineering experience.
• Strong hands-on experience with Azure Databricks and performance tuning.
• Experience with data modeling and streaming frameworks.

Responsibilities

• Architect and implement scalable data platforms on Azure and Databricks.
• Build and optimize batch & real-time data ingestion and transformation.
• Collaborate with cross-functional teams to convert requirements.

Skills

Azure Databricks

Apache Spark (PySpark)

Data modeling

SQL

Performance tuning

Tools

Azure Functions

Terraform

CI/CD using Azure DevOps

Job description

Location: Alpharetta, Georgia
Experience Required: 3 – 15 Years
Compensation: USD 82000 - 123000
Visa Status: US Citizens, green card holder

About The Role

We are seeking a Senior/Lead Data Engineer with 8+ years of experience building scalable, high-performance data platforms on Azure & Databricks. This role involves end-to-end data engineering, architecture, and leadership across modern data lakehouse environments.

Key Responsibilities

• Architect and implement scalable data platforms and pipelines on Azure and Databricks.
• Build and optimize batch & real-time data ingestion and transformation (Spark/PySpark).
• Develop robust ETL/ELT workflows, ensuring reliability and performance.
• Work with ADLS, Delta Lake, and Spark for large-scale processing.
• Design data models (conceptual, logical, physical) for analytics and operational use.
• Collaborate with cross-functional teams to convert requirements into technical solutions.
• Troubleshoot performance issues and support production systems.
• Ensure best practices for data governance, security, quality, and architecture.
• Mentor junior engineers and contribute to engineering standards.

Required Skills

• 8+ years of enterprise data engineering experience.
• Strong hands‑on experience with Azure Databricks, Azure Functions, ADF, Apache Spark (PySpark), SQL & performance tuning, Delta Lake (schema evolution, ACID, optimization), ETL/ELT, distributed systems, and cloud‑native architecture.
• Experience with data modeling (dimensional, normalized, lakehouse).
• Exposure to streaming frameworks (Kafka, Event Hub).
• Strong problem‑solving and technical leadership skills.

Preferred Skills

• CI/CD using Azure DevOps, Git.
• IaC tools (Terraform/ARM).
• Azure Purview or other data governance tools.
• Experience supporting ML or BI workloads on Databricks.

Benefits

• Medical, dental, vision insurance
• Paid vacation, sick leave, holidays
• Employer‑matched 401(k)
• Life, AD&D, short‑term & long‑term disability
• Eligibility varies by employment type and state law

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

Software Development