Data Architect at Analytica

This role is designed for a seasoned data professional with at least 8 years of experience, specifically someone who has spent the last few years mastering clou

Work type: onsite

Location: Washington, DC

Type: full-time

Summary

This role is designed for a seasoned data professional with at least 8 years of experience, specifically someone who has spent the last few years mastering cloud ecosystems (AWS, Azure, or GCP). The ideal candidate is an expert in the Databricks and Spark stack and is comfortable working within the regulatory frameworks of federal government missions. You will join a fast-growing, award-winning consultancy that offers a robust benefits package, including employer-paid healthcare, 401k matching, and dedicated professional development funds. This is a high-impact position where you will lead the modernization of legacy environments into cloud-native architectures while mentoring junior engineers. **You might be a good fit if you...** * Have deep technical mastery of Databricks, Spark, and Delta Lake. * Are a U.S. Citizen capable of obtaining a Public Trust clearance. * Enjoy "hands-on" architecture, from building data pipelines to shaping technical proposals for new bids. * Are familiar with federal standards like FISMA and FedRAMP.

Job Description

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.

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.

• 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

• 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

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