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Mogi I/O : OTT/Podcast/Short Video Apps for you
Mogi I/O : OTT/Podcast/Short Video Apps for you

Enterprise Account Director – FinTech & AI Solutions

$82k - $123k
Atlanta, GA
Remote 🌴
Full-time
11-50
Apply Now
🔴 Closes on: 
Jun 1

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
Apply Now
🔴 Closes on: 
Jun 1
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