Lead Systems Architect – Data Science & AI Analytics

analyticallc; Bethesda (MD); On-site; USD 180,000 - 260,000; Full time

Job summary

Analytica is seeking a Systems Architect – Data Science & Advanced Analytics to provide strategic and technical leadership in designing, implementing, and modernizing enterprise data and analytics solutions.

This role serves as the lead architect for data science initiatives, responsible for developing scalable analytics environments, machine learning solutions, and enterprise data architectures with a strong emphasis on Databricks, Apache Spark, and modern cloud-based data platforms.

Qualifications

• Bachelor's degree in a related technical field; master's preferred.
• 10+ years designing and implementing analytics, ML, or Big Data solutions.
• Experience leading enterprise data science initiatives.
• Experience leading technical teams and architecting large-scale analytics platforms.
• Experience developing AI/ML solutions for mission-critical operations.
• Knowledge of data governance and responsible AI principles.

Responsibilities

• Lead enterprise Data Science and Advanced Analytics initiatives.
• Define vision and strategy for Big Data, AI and ML solutions.
• Design scalable data science environments for model development and deployment.
• Provide technical leadership to Data Scientists and Analytics teams.
• Collaborate with cross-functional teams to translate objectives into analytics outcomes.
• Establish governance, reproducibility, and monitoring for analytic products.

Skills

ML model development

Statistical modeling

AI methodologies

Feature engineering

Data exploration

Education

Bachelor's degree in CS/Data Science/Statistics/Engineering/Math

Master's degree preferred

Tools

Databricks Lakehouse

Apache Spark

Delta Lake

ETL/ELT pipelines

Data modeling

Databricks Certified Data Scientist

Databricks Certified Data Engineer

Databricks ML Associate

Databricks Spark Developer

Tableau Certification

Job description

Analytica is seeking a Systems Architect – Data Science & Advanced Analytics to provide strategic and technical leadership in designing, implementing, and modernizing enterprise data and analytics solutions.

This role serves as the lead architect for data science initiatives, responsible for developing scalable analytics environments, machine learning solutions, and enterprise data architectures with a strong emphasis on Databricks, Apache Spark, and modern cloud-based data platforms.