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Metric5 · 6 days ago

Principal Data Architect

DC-Baltimore Area

Full-time

Onsite

Lead/Staff

12+ years exp

Metric5 provides a range of technical services to clients, focusing on data management and architecture. The Principal Data Architect is responsible for defining the technical vision and strategy for a modern data platform that supports Federal Government customers, ensuring alignment with customer priorities.

Digital EntertainmentInformation TechnologySoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Architectural Roadmap: Define and articulate a multi-year technical vision and roadmap for the data lake, encompassing data ingestion, processing, storage, governance, and consumption layers

Customer Service & Priority Alignment: Act as the primary technical interface for customer stakeholders, ensuring all architectural decisions and development activities directly address and prioritize the customer's mission-critical needs and objectives

Innovation & CoE Leadership: Serve as a technical leader in driving innovation across the data platform and actively implement initiatives defined by the existing Center of Excellence (CoE) and Innovation teams

Team Collaboration & Mentorship: Collaborate closely with cross-functional development, data science, and engineering teams (DevSecOps, AWS, Databricks) to translate architecture into actionable implementation plans, providing guidance and mentorship to ensure technical excellence and adherence to standards

Technical Coordination: Coordinate and synchronize technical activities across multiple workstreams (data ingestion, graph services, and data consumption) to manage interdependencies, mitigate risks, and ensure the timely delivery of integrated solutions

Solution Design (Databricks Focus): Lead end-to-end technical design and architecture reviews, focusing on optimal use of Databricks E2/Delta Lake features

Interface Management: Architect robust and secure interfaces for both internal and external data exchange, managing technical discussions with various data source owners (internal/external to USCIS)

Code Review & Quality: Lead code and design reviews to uphold high-quality standards, ensuring scalability, security, and maintainability across the Python, Scala, Apache Groovy, and PL/SQL code base

Qualification

Databricks E2Delta LakeAWSGraph Data ServicesPythonScalaApache GroovyInfrastructure as CodeCI/CDCommunicationCollaborationTechnical Leadership

Required

Must be a U.S. Citizen and capable of obtaining/maintaining appropriate government clearance

Bachelor's or master's degree in computer science, software engineering, or a related field

12+ years of progressive experience in data architecture, with at least 5 years in a senior or principal role defining data lake or modern data warehouse strategies

Expert-level proficiency and architectural experience with Databricks E2, Delta Lake, and MlFlow

Mandatory, deep, and proven experience in architecting solutions centered on Graph Data and Entity Resolution, specifically leveraging Senzing (Senzing Runtime API v3.10.2)

Familiarity with integrating and utilizing platforms like Sprinklr and CopyStorm into the Delta Lake architecture

Expert-level knowledge of AWS foundational services, including S3, EC2, RDS (PostgreSQL), ELB, DMS, and EBS

Extensive experience designing and optimizing solutions using AWS Redshift, AWS Athena, and AWS Glue

Proficiency in defining and managing infrastructure using CloudFormation Templates (CFT)

Expert-level proficiency in at least two of the primary data lake languages: Python, Scala, or Apache Groovy

Experience with Jenkins/Liquibase deployment strategies across AWS Commercial Cloud and OpenShift

Experience with OpenShift, Docker/Kubernetes, and optionally EKS

Preferred

Prior experience supporting the Department of Homeland Security (DHS), U.S. Citizenship and Immigration Services (USCIS), or similar federal customers is highly valuable

Proven track record of successful coordination and communication with diverse teams (developers, product owners, QA, and customer leadership) in a complex enterprise environment

Demonstrated ability to lead through influence, foster a collaborative team environment, and drive consensus on complex technical decisions

Demonstrated experience in a technical leadership capacity, specifically driving architecture around Databricks/Delta Lake and Graph Data Services