Lead Data Architect
Listed on 2026-11-04
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IT/Tech
Data Engineering, Data Scientist, Data Warehousing, Data Science Manager
Analytica is looking for a Lead Data Architect to oversee, manage and provide hands-on implementation of enterprise data architecture, Data Ops and MLOps for key client program centered around network and entity services. This leader designs and sustains data architectures and data pipelines that support identity and biometrics applications, integrates law-enforcement-sensitive data for screening and vetting, and leads for AI/ML practice spanning model development, deployment, and continuous validation on AWS and Databricks.
Analytica has been recognized byInc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.
Key Responsibilities:Lead and architect enterprise-wide initiatives including system integration, data migration, transformation, data warehouse build, data mart build, data lakes implementation and support, and O&M for a large enterprise.
Develop and evaluate production AI/ML solutions in AWS and Databricks.
Apply advanced proficiency in statistical, programming, and engineering methods for data analysis (e.g., SQL, Python, 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 AI/ML, data analytics, and entity resolution into Dev Sec Ops workflows and system architectures.
Maintain AI/ML models through user stories and the Dev Sec Ops CI/CD pipeline, including optimization and evaluation of alternates.
Prefer open-source models; provide comparable analysis and justification when proprietary models are proposed.
Provide a continuous model validation framework to the extent possible.
Support data analytics on program and system activities, including assessment of performance and manual processes with automation/optimization recommendations.
Mentor Data Scientists, Data Engineers, and Database Management staff; collaborate with Architect Leads and ISSO personnel on secure handling of law-enforcement-sensitive data.
Qualifications:
US Citizen with the ability to secure a US 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, focusing 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 and Python
Proven Experience leading and architecting enterprise-wide initiatives spanning system integration, data migration, transformation, data warehouse/mart build, data lakes implementation and support, and O&M for a large enterprise.
Proven expertise in Relational and Dimensional Data Modeling and Lakehouse architectures
Advanced proficiency in statistical, programming, and/or engineering in building DataOPs and MLOPs pipelines for data analysis
Qualifications:
Databricks Professional or AWS Solution Architect or Data Engineer strongly preferred
Advanced degree (Master's or PhD) in Data Science, Statistics, Computer Science, Mathematics, or related quantitative discipline.
Experience with PyTorch, Sci Kit-Learn, Num Py, Spark/Scala, Kafka, and PostgreSQL.
Experience with Tableau and large-scale data…
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