Analytica
Overview
Analytica is seeking an experienced
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. Responsibilities
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 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 Qualifications
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. The company is an award-winning SBA 8(a) small business that has been recognized by Inc. Magazine in 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. Location
Herndon, VA Salary range: $49,996.80 - $290,004.00 Job details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Wireless Services, Telecommunications, and Communications Equipment Manufacturing
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Analytica is seeking an experienced
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. Responsibilities
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 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 Qualifications
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. The company is an award-winning SBA 8(a) small business that has been recognized by Inc. Magazine in 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. Location
Herndon, VA Salary range: $49,996.80 - $290,004.00 Job details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industries: Wireless Services, Telecommunications, and Communications Equipment Manufacturing
#J-18808-Ljbffr