Big Data Solutions Architect

Mogi I/O : OTT/Podcast/Short Video Apps for you; Dunwoody (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 tech company in Georgia is seeking a Senior/Lead Data Engineer with at least 8 years of experience in building scalable data platforms. This role involves architecting and implementing solutions on Azure and Databricks, optimizing data ingestion processes, and mentoring junior engineers. Candidates should possess strong experience with data engineering, cloud-native architectures, and ETL processes. A comprehensive benefits package is offered, including health insurance and a 401(k) plan.

Qualifications

• 8+ years of enterprise data engineering experience.
• Strong hands-on experience with Azure Databricks and Apache Spark (PySpark).
• Expertise in ETL/ELT and cloud-native architecture.

Responsibilities

• Architect and implement scalable data platforms on Azure and Databricks.
• Build and optimize batch & real-time data ingestion.
• Develop robust ETL/ELT workflows ensuring reliability.

Skills

Azure Databricks

Apache Spark (PySpark)

SQL & performance tuning

ETL/ELT

data modeling

streaming frameworks (Kafka, Event Hub)

CI/CD using Azure DevOps

IaC tools (Terraform/ARM)

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)
• Expertise in ETL/ELT, distributed systems, and cloud-native architecture.
• Experience with data modelling (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

Senior / Lead

Employment Type

Full‑time

Job Function

Engineering and Information Technology

Industries

Software Development