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Analytica

Public-sector data-driven consulting and technology services

Lead Data Architect

Data Management +1Confirmed live in the last 24 hours
Full-timeBethesda, MD, USAIn-person

About the Job

Requirements

  • U.S. citizenship is required, and the candidate must be able to secure a U.S. public trust clearance.
  • A bachelor's degree in computer science, information technology, data science, engineering, mathematics, or a related technical field is required.
  • At least 10 years of information technology experience focused on enterprise data architecture, artificial intelligence and machine learning, data engineering, and data management are required.
  • At least 5 years of experience implementing data solutions on AWS and/or Databricks are required.
  • Significant experience with Python is required.
  • Proven experience leading and architecting enterprise-wide initiatives spanning system integration, data migration, transformation, data warehouse and data mart build, data lakes implementation and support, and operations and maintenance for a large enterprise is required.
  • Expertise in relational and dimensional data modeling and lakehouse architectures is required.
  • Advanced proficiency in statistical, programming, and/or engineering methods for building DataOps and MLOps pipelines for data analysis is required.

Responsibilities

  • Lead and architect enterprise-wide initiatives, including system integration, data migration and transformation, data warehouse and data mart build, data lake implementation and support, and operations and maintenance for a large enterprise.
  • Develop and evaluate production artificial intelligence and machine learning solutions in AWS and Databricks.
  • Apply statistical, programming, and engineering methods for data analysis, including SQL, Python, and statistical modeling.
  • Lead relational and dimensional data modeling across identity and biometrics data domains.
  • Establish and enforce a data governance framework to improve accuracy using integrated internal and external disparate data sources.
  • Conduct cost-benefit analyses for competing technical and architectural options.
  • Integrate artificial intelligence and machine learning, data analytics, and entity resolution into DevSecOps workflows and system architectures.
  • Maintain artificial intelligence and machine learning models through user stories and the DevSecOps continuous integration and continuous delivery pipeline, including optimization and evaluation of alternatives.
  • Provide comparable analysis and justification when proposing proprietary models rather than preferred open-source models.
  • Provide a continuous model validation framework to the extent possible.
  • Support data analytics on program and system activities, including assessing performance and manual processes and recommending automation and optimization.
  • Mentor data scientists, data engineers, and database management staff, and collaborate with architect leads and information system security officer personnel on secure handling of law-enforcement-sensitive data.

Desired Qualifications

  • Databricks Professional, AWS Solutions Architect, or AWS Data Engineer certification is strongly preferred.
  • An advanced degree (master's or PhD) in data science, statistics, computer science, mathematics, or a related quantitative discipline is preferred.
  • Experience with PyTorch, scikit-learn, NumPy, Spark/Scala, Kafka, and PostgreSQL is preferred.
  • Experience with Tableau and large-scale data visualization for executive and operational reporting is preferred.
  • Prior experience with USCIS, DHS, or federal law enforcement or national security data programs is preferred.

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

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