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Data Architect

Government Systems Technologies Inc. (GSTi)Chicago, IL🇺🇸United StatesPosted 28 Jul 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Data Architect
Location: Chicago, Illinois
Contract
Primary Skills: Databricks Data platform, PySpark, AWS :
Architect - Data Experience 13+ Years to work at the client place in Chicago,
Key Responsibilities.
  • We are seeking an experienced Architect - Data with 13+ years of experience in designing and delivering enterprise-scale cloud data platforms.
  • The ideal candidate should possess strong hands-on expertise in AWS, Databricks, and PySpark, ETL, DLT with the ability to lead technical solutioning, mentor engineering teams, and collaborate with client stakeholders to deliver scalable, secure, and high-performance data solutions.
  • Lead design and development of GenAI and Agentic AI solutions aligned with business objectives.
  • Understand client requirements and translate them into scalable technical solutions.
  • Drive architecture discussions, solution design, and technical strategy with stakeholders and clients. Collaborate with cross-functional teams to deliver AI-driven products and platforms.
  • Provide technical leadership, mentoring, and guidance to development teams.
  • Design and implement enterprise-scale data platform solutions using AWS, Databricks, and PySpark.
  • Ensure best practices in AI/ML architecture, integration, security, and scalability.
  • Define architecture, coding standards, and best practices for data engineering solutions.
  • Collaborate with Product Managers, Engineering Managers, Scrum Masters, and Technical Leads to achieve sprint and milestone commitments.
  • Lead architecture discussions, technical design reviews, and solution walkthroughs with client stakeholders.
  • Provide technical guidance to engineering teams and resolve complex technical challenges.
  • Ensure compliance with enterprise security, governance, and data management standards.
  • Mentor engineers and promote engineering excellence across the project.
  • Strong hands-on, experience in AWS, Databricks, PySpark, ETL, and Delta Live Tables (DLT).
  • Good understanding of modern data lakehouse architecture. Experience in data modeling, orchestration, and pipeline optimization.
  • Strong communication and stakeholder management skills. Ability to lead client discussions and provide solution-oriented approaches.
  • Experience in Agile delivery and team leadership. Strong experience in Generative AI, LLMs, AI Agents, and orchestration frameworks.
  • AWS, Databricks Architect, TOGAF Certification,..

Skills

AWS
ETL
Scrum
Agile
Databricks
Generative AI
Stakeholder Management

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