Lead Data Platform Engineer at ECS Tech Inc

Fairfax, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Architecture, Data Engineering, Compliance, AWS, Databricks, Apache Spark, ETL, DevSecOps, CI/CD, Python, Bash, Linux, Data Ingestion, Data Curation, Cybersecurity, Technical Leadership

Industry

IT Services and IT Consulting

Description

ECS is seeking a Lead Data Platform Engineer to work in our Fairfax, VA office. Position Overview: ECS is seeking a Lead Data Platform Engineer to support the development of a next-generation data management platform focused on Artificial Intelligence/Machine Learning (AI/ML) and Big Data/Cloud Solutions. This is not a project management role; however, it requires strong leadership and hands-on technical expertise in areas such as cloud architecture, data engineering, and compliance. The candidate will collaborate closely with the Project Manager and a cross-functional team of engineers and scientists to design, build, and deploy a scalable platform that ingests data from multiple sources, performs ETL operations, and produces curated datasets for AI/ML training. The ideal candidate fosters a culture of innovation, collaboration, and technical excellence in a mission-driven environment. Position Description: The Lead Data Platform Engineer will define the technical vision and lead the design and implementation of a secure, scalable, and compliant data management platform incorporating a mix of COTS and open-source components. This individual will partner with the Project Manager to guide a multidisciplinary team including data engineers, data scientists, DevSecOps specialists, cloud engineers, and cybersecurity professionals. Key responsibilities include: * Leading the design and deployment of AWS-based environments to support IL5/IL6 requirements. * Building and managing data pipelines using Databricks, Apache Spark, and related ETL technologies (e.g., AWS Glue, Apache Airflow). * Ensuring compliance with DoD security and accreditation standards, including STIGs and Impact Level controls. * Providing architectural oversight on data ingestion, curation, and storage to produce reliable, high-quality datasets for AI/ML vendors. * Supporting DevSecOps practices, CI/CD pipelines, and automation to streamline delivery. * Acting as the primary technical interface with project stakeholders, ensuring alignment between technical execution and mission needs. This role blends hands-on technical work and architectural leadership, with direct involvement in solution design, prototyping, and technical decision-making. Qualifications * Active Secret clearance and eligible for a Top-Secret Clearance with the capability of obtaining SCI / CI-Poly to meet contract requirements. * 10+ years of experience in software engineering, data engineering, or cloud architecture. * Strong expertise with AWS cloud services (compute, storage, networking, IAM). * Proficiency with Linux Environments (system administration, scripting, troubleshooting). * Hands-on experience with Databricks and Apache Spark for large-scale data processing. * Proficiency in building and managing ETL pipelines (e.g. AWS Glue, Apache Airflow). * Strong understanding of data engineering principles, including data ingestion, transformation, and curation workflows. * Proficient in Python, Bash, or equivalent scripting/programming languages used in cloud and data environments. * Experience implementing CI/CD pipelines and modern DevSecOps workflows. * Demonstrated ability to work in a fast paced matrixed, multidisciplinary team environment. * Strong communication skills with the ability to interface and collaborate with project managers, stakeholders, vendors, and technical staff.

Responsibilities

The Lead Data Platform Engineer will define the technical vision and lead the design and implementation of a secure, scalable, and compliant data management platform. This role blends hands-on technical work and architectural leadership, with direct involvement in solution design, prototyping, and technical decision-making.