Lead Data Architect

Analytica•Bethesda, MD

About The Position

Analytica is seeking a Lead Data Architect to oversee, manage, and hands-on implement enterprise data architecture, DataOps, and MLOps for a key client program centered on network and entity services. The role designs and sustains data architectures and pipelines supporting identity and biometrics applications, integrates law-enforcement-sensitive data for screening and vetting, and leads AI/ML practice across model development, deployment, and continuous validation on AWS and Databricks. The position leads enterprise-wide system integration, data migration and transformation, data warehouse and data mart builds, data lake implementation and support, and operations and maintenance. It also develops production AI/ML solutions, establishes data governance, integrates AI/ML and analytics into DevSecOps, and supports program analytics and process optimization. The role mentors Data Scientists, Data Engineers, and Database Management staff, and collaborates with Architect Leads and ISSO personnel on secure handling of sensitive data. Analytica serves U.S. government clients in health, civilian, and national security missions. It offers competitive compensation, opportunities for bonuses, employer-paid health care, training and development funds, and a 401(k) match.

Requirements

U.S. citizenship and ability to secure a U.S. public trust clearance.
Bachelor’s degree in computer science, information technology, data science, engineering, mathematics, or a related technical field.
10+ years of IT experience focused on enterprise data architecture, AI/ML, data engineering, and data management.
5+ years of experience implementing AWS and/or Databricks data solutions.
Significant experience with Python.
Proven experience leading and architecting enterprise-wide initiatives spanning system integration, data migration and transformation, data warehouse and data mart builds, data lake implementation and support, and operations and maintenance for a large enterprise.
Expertise in relational and dimensional data modeling and lakehouse architectures.
Advanced proficiency in statistical, programming, and/or engineering methods for building DataOps and MLOps pipelines for data analysis.

Nice To Haves

Databricks Professional, AWS Solutions Architect, or AWS Data Engineer certification.
Master’s or PhD in data science, statistics, computer science, mathematics, or a related quantitative discipline.
Experience with PyTorch, scikit-learn, NumPy, Spark/Scala, Kafka, and PostgreSQL.
Experience with Tableau and large-scale data visualization for executive and operational reporting.
Prior USCIS, DHS, or federal law enforcement/national security data program experience.

Responsibilities

Lead and architect enterprise-wide initiatives, including system integration, data migration and transformation, data warehouse and data mart builds, data lake implementation and support, and operations and maintenance for a large enterprise.
Develop and evaluate production AI/ML 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 across integrated internal and external disparate data sources.
Conduct cost-benefit analyses of competing technical and architectural options.
Integrate AI/ML, data analytics, and entity resolution into DevSecOps workflows and system architectures.
Maintain AI/ML models through user stories and the DevSecOps CI/CD pipeline, including optimization and evaluation of alternatives.
Prefer open-source models and provide comparative analysis and justification when proprietary models are proposed.
Provide a continuous model validation framework to the extent possible.
Support analytics on program and system activities, assess performance and manual processes, and recommend automation or optimization.
Mentor Data Scientists, Data Engineers, and Database Management staff.
Collaborate with Architect Leads and ISSO personnel on secure handling of law-enforcement-sensitive data.