Data & Solution Architect; Databricks and Palantir Platforms

TISTA is seeking a highly capable Data & Solution Architect to lead the design, development, and deployment of modern data, analytics, and artificial intelligence solutions for enterprise and public-sector customers. This role bridges advanced data engineering, solution architecture, and production-grade AI, with a focus on building scalable Data Lakehouse capabilities using the Databricks Data Intelligence Platform and Palantir Foundry/AIP.

The Data & Solution Architect will work directly with customer teams to transform complex, ambiguous operational challenges into secure, governed, and high-value technical solutions. The role requires hands-on expertise in ingesting data from diverse source systems in near real time; progressively refining data quality; developing performant data products and marts; and enable team for deploying Generative AI, Retrieval-Augmented Generation (RAG), and multi-agent applications into production.

This is a customer-facing, delivery-oriented role that combines strategic architecture with hands‑on implementation. The successful candidate will be comfortable embedding with client teams, including government environments, and leading solutions from initial discovery through production deployment and user adoption.

At TISTA, you’ll do meaningful, mission‑driven work that improves lives alongside teammates you trust and leaders who are transparent and supportive. We invest in your learning and internal mobility so you can build a career that keeps advancing. We’re proud to serve and hire Veterans, and we put people first in everything we do.

TISTA associates enjoy above Industry Healthcare Benefits, Remote Working Options, Paid Time Off, Training/Certification opportunities, Healthcare Savings Account & Flexible Savings Account, Paid Life Insurance, Short‑term & Long‑term Disability, 401K Match, Tuition Reimbursement, Employee Assistance Program, Paid Holidays, Military Leave, and much more!

• Translate high-level business, operational, and mission requirements into actionable technical roadmaps, architecture diagrams, backlog items, and production implementation plans.
• Serve as a trusted technical advisor to stakeholders at all levels, from operational users and technical teams to program leadership and C-level executives.
• Drive measurable customer adoption, operational improvement, technical training, and return on investment for delivered data and AI capabilities.
• Facilitate architecture reviews, technical workshops, demonstrations, design sessions, and iterative feedback cycles with customers and internal delivery teams.
• Lead end‑to‑end solution architecture for data engineering, analytics, collaborate with AI engineers for machine learning, and Generative AI initiatives using Databricks, Palantir Foundry, Palantir AIP, and associated cloud services.
• Embed directly with public‑sector, and government customer teams to understand mission needs, operational processes, data challenges, and ambiguous business problems.

• Architect and implement a scalable Data Lakehouse that ingests structured, semi‑structured, and unstructured data from numerous enterprise and operational source systems.
• Design near‑real‑time, batch, streaming, API‑based, event‑driven, and file‑based ingestion patterns appropriate to source‑system capabilities and customer mission needs.
• Build and optimize scalable data pipelines using Python, PySpark, Spark SQL, and Delta Lake.
• Implement incremental ingestion, change data capture (CDC), schema evolution, data lineage, error handling, replay/reprocessing, and data reconciliation capabilities.
• Establish layered data architecture…