Data Platform Engineer (Senior) (Onsite)

Skills

• AWS

• AWS

•

SummaryJob Title:

Data Platform Engineer (Senior) (Onsite)

Location:

Linthicum, MD, 21090

Duration:

Upto 7

YearsPosition Description:

The Senior Data Platform Engineer will be expected to architect, deploy, and operate the enterprise AWS data platform infrastructure that supports analytics and data-sharing initiatives. This role is infrastructure-focused, bridging DevOps/DataOps and data engineering to deliver a secure, governed, and performant platform for agency data consumers. The Systems Architect (Senior) is responsible for developing business, data, systems, and infrastructure models to develop enterprise architectures. His/her responsibilities include performing the following tasks:? Developing plans for migrating architectures? Developing technical reference models to include hardware/software standards? Engineering integrated hardware and software solutions to meet mission requirements.? Architect and maintain the core AWS data platform: S3-based data lake, Redshift Serverless or provisioned clusters, AWS Glue catalog, Athena, and Lake Formation.? Design and enforce data access control, row/column-level security, and data sharing policies using AWS Lake Formation and IAM.? Build and maintain DataOps pipelines, infrastructure-as-code (Terraform/CDK), and CI/CD workflows for platform deployments.? Manage platform observability by implementing monitoring, alerting, and cost-governance dashboards (CloudWatch, AWS Cost Explorer, NewRelic).? Evaluate, integrate, and operationalize new AWS platform services aligned with agency modernization roadmap.? Support multi-account AWS environment management (AWS Organizations, Control Tower, Service Control Policies).? Establish and enforce data platform standards, best practices, and technical runbooks.? Collaborate with security/compliance teams to maintain FedRAMP compliance, NIST controls, and system authorization documentation.? Provide Tier 2/3 platform support; triage and resolve performance, availability, and data quality incidents.? Mentor junior data engineers and contribute to platform capability roadmap.

Education:

This position requires a Bachelor's degree from an accredited college or university in Computer Science, Information Systems or a related field; or three (3) years of equivalent experience in a related field. (

Note:

A Master's degree in Information Technology is a plus.)The following is also required:? 8+ years of experience in data platform, cloud infrastructure, or DataOps engineering.? Deep expertise with AWS data and analytics services: S3, Glue, Redshift, Athena, Lake Formation, EMR.? Strong infrastructure-as-code skills (Terraform, AWS CDK, or CloudFormation).? Experience managing multi-account AWS environments with governance guardrails.?

Solid understanding of data security:

encryption at rest/in transit, IAM least-privilege, VPC networking for data services.? Experience with CI/CD pipelines (CodePipeline, GitHub Actions, Jenkins) applied to data platform releases.? Familiarity with FedRAMP, FISMA, or

NIST 800-53

controls in an AWS context.

General Experience:

The proposed candidate must have experience performing architecture related work on at least five IT systems.

Specialized Experience:

The proposed candidate must have the following experience in performing a significant role in all aspects of architecture related work on at least two large IT systems:? Experience with AWS Control Tower, Organizations, and Service Control Policies for enterprise governance.?

Familiarity with platform engineering concepts:

data mesh, data products, and self-service analytics.? Experience with Databricks on AWS or Amazon EMR Serverless.? Knowledge of FinOps practices for cloud data cost optimization.? Background in government IT modernization or digital transformation programs.

Preferred Certifications? AWS Certified Data Analytics — Specialty? AWS Certified Solutions Architect — Professional? AWS Certified DevOps Engineer — Professional? HashiCorp Certified Terraform AssociateEmployers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.