A

Analytica

Public-sector data-driven consulting and technology services

Data Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is required; a master's degree is preferred.
  • At least 8 years of experience in data architecture, data engineering, or solution architecture, including at least 3 years with cloud-based solutions.
  • Expertise in Databricks, Apache Spark, Delta Lake, and distributed data processing frameworks.
  • Strong knowledge of AWS (Glue, S3, Redshift, EMR), Azure (Synapse, Data Lake, Purview), or GCP (BigQuery, Dataflow, Dataproc).
  • Experience designing data lakes, data warehouses, and streaming or real-time data architectures.
  • Familiarity with federal data standards, including FISMA, FedRAMP, CUI handling, and data governance frameworks.
  • Proficiency in SQL, Python, and big data query optimization.
  • Must be a U.S. citizen.
  • Must be able to obtain and maintain a Public Trust security clearance.

Responsibilities

  • Design and implement scalable data architectures for structured, semi-structured, and unstructured data.
  • Lead the modernization of legacy data environments into cloud-based big data platforms.
  • Architect solutions using Databricks, Spark, Delta Lake, and related big data technologies.
  • Define and enforce data governance, data security, and metadata management practices in compliance with federal standards.
  • Collaborate with government stakeholders, program managers, and development teams to align solutions with mission objectives.
  • Develop data models, pipelines, APIs, and integration strategies across multiple data sources and platforms.
  • Ensure architectures support analytics, artificial intelligence and machine learning, and business intelligence use cases.
  • Mentor data engineers and developers, promoting best practices in coding, design, and performance optimization.
  • Support capture and proposal activities by shaping technical solutions and writing architecture content for bids.

Desired Qualifications

  • Certifications in cloud platforms, such as AWS Certified Data Analytics, Azure Data Engineer, or GCP Data Engineer.
  • Experience supporting federal data modernization, digital transformation, or analytics programs.
  • Familiarity with data governance tools such as Collibra, Alation, Informatica, or Purview.
  • Exposure to artificial intelligence and machine learning pipelines and MLOps in cloud environments.

About the Company

Analytica

Public-sector data-driven consulting and technology services

Analytica provides data-driven consulting and technology services to U.S. public-sector agencies in health, civilian, and national security. Its offerings combine data analytics, systems integration, and technology implementation to help government entities modernize operations and improve decision-making. The company differentiates itself through a strong track record with public-sector modernization recognized by organizations like NYU’s Governance Lab, its SBA 8(a) and HUBZone certifications, and being named among Inc.’s fastest-growing U.S. companies for three consecutive years. Analytica’s goal is to enable government clients to use data and technology to deliver better services, increase efficiency, and strengthen national security.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Washington DC, District of Columbia
Founded
2007

Recently Posted Jobs

Explore more opportunities at Analytica

See more jobs