Systems Architect - Data Science & Advanced Analytics

Analytica
United States
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 10+ yearsEducation: mastersSkills: ["Databricks","Apache Spark","Delta Lake","Lakehouse","Big Data","AI","Machine Learning","Data Governance","Model governance","Agile"]

Lead architect for enterprise data science and advanced analytics initiatives, guiding the design and deployment of scalable analytics environments, ML models, and data architectures using Databricks, Apache Spark, and modern cloud platforms. Collaborate with data scientists, data engineers, and leadership to translate business needs into actionable analytics, establish best practices and governance, and drive organization-wide adoption of AI capabilities.

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FursaFursa
Analytica
Analytica
3 months ago

Systems Architect - Data Science & Advanced Analytics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Lead architect for enterprise data science and advanced analytics initiatives, guiding the design and deployment of scalable analytics environments, ML models, and data architectures using Databricks, Apache Spark, and modern cloud platforms. Collaborate with data scientists, data engineers, and leadership to translate business needs into actionable analytics, establish best practices and governance, and drive organization-wide adoption of AI capabilities.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Lead the data science and advanced analytics architecture for the organization, guiding strategy and roadmap.
  • •Design and implement scalable data science environments supporting experimentation, model development, validation, and deployment.
  • •Provide technical leadership and mentorship to Data Scientists, ML Engineers, and Analytics teams.
  • •Identify emerging technologies and methodologies to enhance capabilities and mission outcomes.
  • •Architect end-to-end ML and analytics solutions using modern data platforms and distributed computing frameworks.

Key Requirements

  • •10+ years of progressive experience designing and implementing advanced analytics, machine learning, or Big Data solutions
  • •Experience as a technical lead or subject matter expert for enterprise data science initiatives
  • •Experience leading technical teams and architecting large-scale analytics platforms
  • •Experience architecting enterprise-scale data science and advanced analytics platforms
  • •Experience developing AI/ML solutions for mission-critical or large-scale operations
Experience:10+ yearsData analyticsBig dataMachine learningAi
Education:Master's in Computer Science
Skills:DatabricksApache SparkDelta LakeLakehouseBig DataAIMachine LearningData GovernanceModel governanceAgile
Certifications:Databricks Certified Professional Data ScientistDatabricks Certified Professional Data EngineerDatabricks Certified Machine Learning AssociateDatabricks Certified Developer for Apache Spark
Tech Stack:DatabricksApache SparkDelta LakeDatabricks LakehouseSparkBig Data

Company Brief

Analytica
Analytica is a federal-focused consulting and technology services firm delivering data, analytics, AI, and IT modernization solutions to health, civilian, and national security agencies in the U.S.
Industry: Consulting
Company Size: Medium (51 to 250 employees)
Revenue: USD 25M to 50M
Growth: Established Company
Headquarters: Washington, United States
Founded: 2009
Glassdoor
Glassdoor: 3.4
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