Data Architect

Akima, LLC•Herndon, VA

8h•Hybrid

About The Position

Suvi Global Services is looking for a talented Data Architect to design and govern the data foundation that powers analytics, reporting and product decision across multiple government contracts. This position will define how data is modeled, stored, integrated, and secured, and partner closely with engineering, analytics, and business teams to turn strategy into scalable, reliable systems. This role also supports various projects as required. To join our team of outstanding professionals, apply today! This is a hybrid role with approximately 50% on-site work. Candidates must be located within a commutable distance to Herndon, VA.

Requirements

Active TS/SCI Required.
Bachelor’s degree in Computer Science, Information systems, or related field.
7+ years of experience in data engineering, database design, or data architecture, with at least 3 years in an architect role.
Proven experience on enterprise architecting data platforms at petabyte scale, with at least 1 PB of managed storage across warehouse, lake, or Lakehouse environments.
Demonstrated ability to design for high complexity, including integration of 20+ data sources/streams and data models spanning 500+ entities or tables.
Deep expertise in data modeling (dimensional, relational, and NoSQL approaches)
Strong SQL skills and hands-on experience with at least one cloud platform
Experience with modern data platforms such as [Snowflake, Databricks, BigQuery, Redshift]
Familiarity with ETL/ELT and orchestration tools such as [dbt, Airflow, Fivetran, informatica]
Solid understanding of data governance, security, and master data management.
Excellent communication skills and the ability to influence without direct authority.

Nice To Haves

Experience with streaming technologies such as Kafka, Kinesis.
Exposure to supporting ML/AI workloads and feature stores.
Certification in AWS Data Analytics, Azure Data Engineer or CDMP.

Responsibilities

Design and maintain the enterprise data architecture, including conceptual, logical, and physical data models.
Define standards for data integration, pipelines, storage, and metadata across cloud and on-prem systems.
Lead the design of data warehouses, data lakes, or lake house platforms that support BI, analytics, and ML use cases.
Establish data governance practices covering quality, lineage, security, privacy, and access controls
Evaluate and recommend tools, platforms, and technologies that fit long-term business needs.
Partner with data engineers to review designs, guide implementation, and resolve architectural issues.
Translate business requirements into data solutions and communicate trade-offs to technical and non-technical stakeholders.
Ensure compliance with relevant regulations per government contract.