(646) Lead Data Engineer

Arlo Solutions (Arlo) is an information technology consulting services company that specializes in delivering technology solutions. Our reputation reflects the high quality of the talented Arlo Solutions team and the consultants working in partnership with our customers. Our mission is to understand and meet the needs of both our customers and consultants by delivering quality, value-added solutions. Our solutions are designed and managed to not only reduce costs, but to improve business processes, accelerate response time, improve services to end-users, and give our customers a competitive edge, now and into the future. 

The Lead Data Engineer provides technical leadership in the design, development, and maintenance of enterprise data solutions supporting DoW and Intelligence Community mission systems. The selected candidate will architect and implement scalable Extract, Transfer, Load and Extract, Load, Transfer (ETL/ELT) pipelines within secure cloud environments and support advanced analytics and business intelligence initiatives.

• →Design, develop, and maintain scalable data pipelines using Python, SQL, and Databricks (Apache Spark).
  
  
• →Integrate structured and unstructured data across AWS and Azure cloud environments (NIPR, SIPR, JWICS as applicable).
  
  
• →Implement data quality controls, monitoring processes, and governance standards.
  
  
• →Support data ingestion into enterprise analytics platforms (e.g., Advana or similar).
  
  
• →Develop and maintain executive dashboards using enterprise BI tools (Qlik, Power BI, Tableau).
  
  
• →Automate workflows using Azure Data Factory, Databricks notebooks, or equivalent tools.
  
  
• →Configure and manage cloud security controls in accordance with DoD policies.
  
  
• →Provide technical leadership, conduct design reviews, and mentor junior staff.

• Active TS/SCI clearance.
• Bachelor’s degree in data Analytics, Statistics, Business, or related field (or equivalent experience).
• 3-5 years of experience in data engineering, ETL development, or enterprise data warehousing.
• Experience with Databricks and distributed data processing frameworks.
• Proficiency in SQL and Python.
• Excellent written and verbal communication skills for reporting and presenting findings, 
• Experience in AWS and/or Azure cloud environments.
• Experience supporting DoD or IC customers.

• Master’s degree in Analytics, Data Science, or related discipline.
• Experience with Palantir Foundry or similar enterprise data platforms.
• Experience with Azure Synapse, Cosmos DB, Neo4j, or Kusto DB.
• Cloud certifications (AWS, Azure, Google Cloud).
• CompTIA Security+ (DoD 8570 compliant).
• Experience supporting DoD or Intelligence Community infrastructure programs.
• Familiarity with enterprise-level resource management and strategic planning processes.

We are proud to be an Affirmative Action and Equal Opportunity Employer and as such, we evaluate qualified candidates in full consideration without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, disability status, protected veteran status, and any other protected status.