The Role
The Senior Data Architect will design, implement, and optimize data solutions, leading modernization efforts and ensuring compliance with federal standards while mentoring teams.
Summary Generated by Built In
Analytica is seeking a Senior Data Architect to design, implement, and optimize enterprise data solutions in support of federal government missions. The Data Architect will play a hands-on role in modernizing data environments, leveraging cloud-native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure, and high-performing solutions.
This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and modern data architecture patterns, along with an ability to translate mission needs into technical solutions.
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.
Responsibilities include (but not limited to):
Basic Qualifications:
This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and modern data architecture patterns, along with an ability to translate mission needs into technical solutions.
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.
Responsibilities include (but not limited to):
- Design and implement scalable data architectures for structured, semi-structured, and unstructured data.
- Lead the modernization of legacy data environments into cloud-based, big data platforms.
- Architect solutions leveraging Databricks, Spark, Delta Lake, and related big data technologies.
- Define and enforce data governance, data security, and metadata management practices in compliance with federal standards.
- Collaborate with government stakeholders, program managers, and development teams to ensure alignment with mission objectives.
- Develop data models, pipelines, APIs, and integration strategies across multiple data sources and platforms.
- Ensure architectures support analytics, AI/ML, and business intelligence use cases.
- Mentor data engineers and developers, promoting best practices in coding, design, and performance optimization.
- Support capture and proposal activities by shaping technical solutions and writing architecture content for bids.
Basic Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (Master’s preferred).
- 8+ years of experience in data architecture, data engineering, or solution architecture, including at least 3 years with cloud-based solutions.
- Databricks certification (such as Databricks Certified Data Engineer Associate or Professional)
- Expertise in Databricks, Apache Spark, Delta Lake, and distributed data processing frameworks.
- Strong knowledge of AWS (Glue, S3, Redshift, EMR), Azure (Synapse, Data Lake, Purview), or GCP (BigQuery, Dataflow, Dataproc).
- Experience designing data lakes, data warehouses, and streaming/real-time data architectures.
- Familiarity with federal data standards (e.g., FISMA, FedRAMP, CUI handling, data governance frameworks).
- Proficiency in SQL, Python, and big data query optimization.
- Must be US Citizen
- Must be able to obtain and maintain a Public Trust security clearance
- Preferred:
- Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer).
- Experience supporting federal data modernization, digital transformation, or analytics programs.
- Familiarity with data governance tools (Collibra, Alation, Informatica, Purview).
- Exposure to AI/ML pipelines and MLOps in cloud environments
Skills Required
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred)
- 8+ years of experience in data architecture, data engineering, or solution architecture
- At least 3 years with cloud-based solutions
- Expertise in Databricks, Apache Spark, Delta Lake, and distributed data processing frameworks
- Knowledge of AWS (Glue, S3, Redshift, EMR), Azure (Synapse, Data Lake, Purview), or GCP (BigQuery, Dataflow, Dataproc)
- Experience designing data lakes, data warehouses, and streaming/real-time data architectures
- Familiarity with federal data standards (e.g., FISMA, FedRAMP, CUI handling)
- Proficiency in SQL, Python, and big data query optimization
- Must be US Citizen
- Must be able to obtain and maintain a Public Trust security clearance
- Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer)
- Experience supporting federal data modernization, digital transformation, or analytics programs
- Familiarity with data governance tools (Collibra, Alation, Informatica, Purview)
- Exposure to AI/ML pipelines and MLOps in cloud environments
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Analytica is an award-winning consulting and technology services provider that supports public-sector health, civilian, and national security. We specialize in data-driven solutions, which have been recognized by organizations such as NYU’s Governance Lab for driving public sector modernization and innovation. Analytica is an SBA Certified 8(a), HUBZone that has been honored as one of the 250 fastest-growing businesses in the U.S. for three consecutive years by Inc. For information on the company visit: www.analytica.net For exciting career opportunities visit: careers.analytica.net








