Job description

Analytica is looking for a Lead Data Architect to oversee, manage and provide hands-on implementation of enterprise data architecture, DataOps 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 by Inc. 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 DevSecOps workflows and system architectures. • Maintain AI/ML models through user stories and the DevSecOps 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. • Required Experience & 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 Preferred Experience & 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, 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. About Analytica: Analytica is a leading data and AI engineering firm serving public sector and highly regulated industries. The company has been recognized by Inc. Magazine as one of the 250 fastest-growing companies in the U.S. and as a Great Place to Work for 3 sequential years. Analytica specializes in helping organizations design and implement improvements across their business functions to leverage data, analytics and AI to be more effective. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2015 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. • Application Review: AI tools may help identify skills and experiences relevant to the role. • Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.

Requirements

Must-haves

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 DevSecOps workflows and system architectures.
Maintain AI/ML models through user stories and the DevSecOps 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.
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 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
Advanced degree (Master's or PhD) in Data Science, Statistics, Computer Science, Mathematics, or 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.

Nice-to-haves

Databricks Professional or AWS Solution Architect or Data Engineer strongly preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlawssqlpythonci/cd

Platform: jazzhr
Effort: medium

Benefits

Benefits detected in the listing.

401k