Solutions Architect - Data Intelligence

Analytica • Washington, DC

9d

About The Position

Analytica is seeking a Solutions Architect, Data Intelligence to lead the vision, architecture, and modernization of a mission-critical enterprise data and analytics environment supporting a high-profile federal program. This role will define the future-state architecture for a complex analytics ecosystem while ensuring current capabilities remain stable, secure, and aligned to mission needs.

This leader will drive strategy across big data analytics, data integration, self-service BI, AI/ML enablement, data governance, and knowledge graph capabilities, translating business needs into scalable, sustainable technical solutions. Working closely with engineering, operations, security, and stakeholders, the Principal Solutions Architect will shape how data is acquired, modeled, governed, exposed, and used for decision-making across the enterprise.

Requirements

• U.S. citizenship and ability to obtain and maintain any required clearance or suitability determination
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or related field. Master’s degree in a plus.
• 12+ years of experience in enterprise data architecture, analytics architecture, or solution architecture, including leadership in large, complex environments.
• Proven success designing and modernizing enterprise data platforms, BI ecosystems, and advanced analytics solutions.
• Strong experience with big data, data lakes/lakehouse implementation, enterprise reporting, analytical data modeling, and cloud-based analytics platforms, preferably on AWS.
• Proven enterprise experience with several of the following or equivalent technologies: Databricks, Delta Lake, MLflow, Unity Catalog, DeltaSharing
• AWS services such as S3, Glue, Redshift, Athena, Lambda, Kinesis, DMS, RDS, DynamoDB, CloudWatch, SNS/SQS, EC2, CloudFormation
• Hands-on experience with Oracle, PostgreSQL, MySQL, and other relational and NoSQL database technologies in enterprise environments.
• Decision Intelligence tools such as Tableau or PowerBI
• Data Governance /MDM tools such as Informatica, Collibra, or Reltio
• Experience developing in Python, Scala, Groovy, PL/SQL
• Experience architecting and enabling AI/ML capabilities within Databricks, including ontology-driven semantic models, knowledge graphs, graph analytics, and high-volume data integration to support advanced analytics and intelligent decision-making.
• Experience with entity resolution and relationship intelligence technologies, such as Senzing, to improve data accuracy, identity resolution, and graph-based analytical outcomes.
• Experience supporting data governance, schema management, data quality, and privacy/security controls.
• Experience working in Agile, Scrum, and DevSecOps delivery models.
• Strong communication skills with the ability to engage executives, engineers, analysts, and business stakeholders.

Nice To Haves

• Certification: Databricks Certified Solutions Architect or Data Engineer Professional and/orAWS Certified Solutions Architect – Professional.
• Experience supporting federal or similarly regulated mission environments.
• Experience with Senzing, Sprinklr, CopyStorm, or similar COTS/data enrichment platforms.
• Familiarity with OpenShift, Kubernetes, and containerized enterprise data platforms.
• Experience with legacy modernization, transition planning, and Section 508-aware analytics delivery.

Responsibilities

• Serve as the lead architect for the enterprise data and analytics ecosystem, guiding current-state sustainment and future-state modernization.
• Define and evolve architecture for data ingestion, integration, storage, transformation, modeling, analytics, visualization, and governed access.
• Lead design of scalable solutions for enterprise repositories, operational data stores, data marts, domain data products, self-service BI, and advanced analytics.
• Drive architecture decisions for data quality, schema management, metadata, lineage, privacy, security, and identity-aware access.
• Shape and operationalize capabilities in AI/ML, intelligent data models, predictive analytics, and graph/relationship-based analytics.
• Partner with stakeholders, product teams, and engineers to translate mission needs into practical, secure, and reusable solutions.
• Guide modernization of legacy capabilities using cloud-native, open-source, and commercial technologies while maximizing value from existing investments.
• Establish architecture standards, reusable patterns, and technical governance through design reviews, roadmaps, and mentoring.
• Collaborate with the platform/DevSecOps lead to ensure solutions are secure, deployable, observable, performant, and cost-effective.
• Support Agile delivery, executive reporting, technical documentation, training, and transition planning

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level