Senior Data Architect
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):
• 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
About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 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.
Apply Now
Apply Now
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
About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. Founded in 2009 and headquartered in Bethesda, MD, the company is an established SBA small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 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.
Apply Now
Apply Now