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Job Description

Insight Global is seeking a Data Architect for a top transportation and logistics technology client. The Data Architect will lead the strategic design and implementation of data architecture for the clients' Transportation Management Systems (TMS) platform and products. This senior role is responsible for the architecture, modeling, performance optimization, and governance of enterprise-scale data solutions that support multi-tenant SaaS operations serving global transportation and logistics customers. The Data Architect will collaborate with executive leadership, engineering teams, and business stakeholders to ensure our data infrastructure remains scalable, secure, performant, and aligned with business intelligence and operational requirements. This position requires deep technical expertise in data management combined with strategic thinking and strong leadership skills to guide the evolution of our data platform supporting mission-critical transportation operations worldwide. The Data Architect will set standards, define direction, and architect scalable solutions—particularly around AWS, Databricks, AI, multi-tenant databases, data lakes, and real-time data streaming

Essential Duties and Responsibilities

 · Define and communicate the overall data architecture strategy and roadmap for the clients’ TMS platform, ensuring alignment with business objectives and analytics requirements

 · Design and implement enterprise-scale data architectures for multi-tenant SaaS environments, including data warehousing, data lakes, and operational data stores

 · Establish and enforce data architecture standards, data modeling best practices, and data governance policies across all development teams

 · Lead the design of scalable data pipelines, ETL/ELT processes, and real-time data

 · integration solutions to support transportation operations and business intelligence

 · Collaborate with C-level executives, product management, and business stakeholders to translate data requirements into comprehensive technical solutions

 · Oversee database design and optimization strategies for high-volume transactional systems and analytical workloads

 · Guide technology selection decisions for data platforms, analytics tools, and emerging data technologies including AI/ML frameworks

 · Lead data governance initiatives including data quality management, master data management, and metadata management programs

 · Ensure data security, privacy compliance, and adherence to industry standards including GDPR, CCPA, SOC 2, and transportation industry regulations

 · Design and implement data backup, recovery, and archival strategies for business[1]critical transportation data

 · Drive adoption of modern data engineering practices including artificial intelligence, relational and NoSQL, graph databases, data mesh architecture, streaming analytics, and cloud-native data platforms

 · Mentor & develop data engineers, database administrators, & analytics teams, fostering a culture of data excellence

 · Direct performance tuning, capacity planning, and optimization of database systems

 · and data platforms, including for Oracle and PostgreSQL databases.

 · Represent the client in technical forums and client discussions regarding data architecture and analytics capabilities

 · Develop and maintain data architecture documentation, data dictionaries, and conceptual/logical/physical data models, including ER diagrams, dimensional models, and multi-tenant schemas.

 · Lead technical due diligence for data-related acquisitions, partnerships, and technology investments

 · Enable near real-time delivery of data changes directly to customers for consumption within their own data lakes.

 · Architect and grow modern data lake and environments, ideally leveraging Databricks as the strategic platform

 · Collaborate with engineering teams and offshore resources to deliver scalable, reliable, and well-governed data systems.

 · Establish standards, best practices, and architectural patterns for enterprise data management.

Build or enhance data platforms that support AI/ML workloads, including data readiness, optimization, and pipelines feeding AI models.

Compensation:

$$160,000 to $$175,000 per year annual salary.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role include: Medical, HSA, Dental, Vision, etc.

Additionally, The client offers PTO, 2 floating holidays in addition to 10 calendar holidays per year, 401(k) with up to a 5% match.

STD/LTD, Life and AD&D are paid for by the company, with option to increase the life insurance at the cost of the IC.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

· 10+ years of progressive experience in data management and architecture

 · Strong Databricks expertise (2–4+ years hands-on required)

 · Deep AWS data ecosystem experience (data lakes, warehousing, analytics services)

 · Experience designing and supporting AI/ML data architectures, especially within Databricks and AWS

 · Strong SQL skills and experience across modern data ecosystems

 · Proven experience architecting enterprise-scale, multi-tenant SaaS data platforms

 · Strong programming background (Python, PySpark; Java/Spark highly relevant)

 · Expertise with relational databases (Oracle, PostgreSQL) and performance optimization

 · Some certification:

   o AWS Certified Data Analytics or Database Specialty

   o CDMP (Certified Data Management Professional)

Oracle Database certifications · Experience building data lakes that support AI or advanced analytics.

 · Experience designing data architectures that feed or support AI/ML models.

 · Previous ownership of enterprise data strategy or acting as the primary data expert within an

 · organization.

 · Strong knowledge of cloud data platforms and services:

   o AWS: RDS, Redshift, Aurora, DMS, Glue, Lake Formation, Athena

   o Cloud Architecture: Multi-region replication, disaster recovery, data sovereignty

 · Experience with AI/ML data architectures and feature stores

 · Knowledge of AI-accelerated development and data analysis tools (Anthropic Claude

 · Code, Microsoft Copilot)

 · Experience with data science platforms and MLOps:

   o SageMaker, Databricks, MLflow

   o Feature engineering and model serving infrastructure

 · Knowledge of API design for data services (RESTful, GraphQL)

 · Experience in Transportation, Logistics, or Supply Chain Management systems

 · Understanding of transportation industry data standards (EDI, API specifications)

Experience with geospatial data and mapping technologies