Associate Director, Solutions Architect – Data, Analytics & AI/ML Platforms

Role Overview

• Define the long‑term architecture for data, analytics, and AI/ML platforms in alignment with enterprise digital strategy.
• Develop reference architectures, design patterns, and platform standards for cloud, Lakehouse, and AI ecosystems.
• Define and lead technology proof of concepts to ensure feasibility of architecture solutions.
• Provide strong thought leadership in pursuit of modern architecture principles and technology modernization.
• Evaluate emerging technologies and provide strategic recommendations (AI, knowledge graphs, real‑time streaming, ML Ops, etc.).
• Drive continuous technology transformation to minimize technical debt.
• Architect end‑to‑end solutions spanning ingestion, transformation, governance, analytics, and ML operationalization.
• Lead architectural design for platforms such as Databricks, Snowflake, Azure Data Services, SAP S/4 connectors, and enterprise knowledge graph/ontology platforms.
• Define patterns for real‑time streaming, data virtualization, metadata frameworks, and multi‑cloud integration.
• Ensure platform scalability, performance, redundancy, cost optimization, and security.
• Collaborate with Cybersecurity and Data Governance teams to enforce data privacy, lineage, cataloging, and access control standards.
• Ensure compliance with government regulations, export control, and enterprise security policies.
• Provide architectural leadership across cross‑functional engineering teams and strategic programs.
• Serve as a trusted advisor to business executives, product owners, and technical stakeholders.
• Mentor and guide data engineers, architects, and analytics practitioners across the organization.
• Lead architecture governance forums and design reviews for major programs.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science or related technical field and 12+ years of applicable work experience; OR an Advanced degree in Computer Science, Engineering, Data Science or related technical field and 10+ years of applicable work experience.
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
• 10+ years of experience in data engineering, data architecture, analytics, AI/ML, or related technical domains.
• 5+ years architecting cloud-native data platforms (Azure, AWS, or GCP).
• Deep experience with Databricks, Lakehouse architectures, and modern ELT/ETL tooling.
• Strong understanding of distributed systems, real‑time data streaming, data governance, and API/Integration architectures.
• Demonstrated ability to design and implement enterprise‑scale data architecture solutions.
• Strong stakeholder management, communication, and executive engagement skills.

Tech Stack

• AWS
• Azure
• Cloud
• Cyber Security
• Distributed Systems
• ETL
• Google Cloud Platform

Benefits

• medical
• dental
• vision
• life insurance
• short-term disability
• long-term disability
• 401(k) match
• flexible spending accounts
• flexible work schedules
• employee assistance program
• Employee Scholar Program
• parental leave
• paid time off
• holidays