Data Architect – Customer Portfolio (Data Products & Lakehouse Architecture)

Expleo • Minneapolis, MN

4d • Hybrid

About The Position

Trissential is hiring a Data Architect for its client's Customer Portfolio team to support large-scale customer data modernization initiatives. The role will help shape Customer 360, enterprise data platforms, AI enablement, and CIS modernization using technologies including AWS and Databricks. It is a hybrid contract position based in Denver, Colorado, or Minneapolis/St. Paul, Minnesota, with a high likelihood of extension.

The Data Architect will design customer-domain data products and scalable integration patterns, architect pipelines into an AWS-hosted Databricks Lakehouse, and establish standards for customer data systems of record and systems of truth. The position provides architectural leadership for modernization, migration, data movement, governance, and future-state platform efforts, while collaborating with architects, engineers, business stakeholders, governance teams, and vendors. It also supports AI readiness, advanced analytics, and data product ownership.

Requirements

• At least 8 years of experience in Data Architecture, Enterprise Architecture, or related data-focused roles.
• Strong AWS data architecture experience across cloud-native data services and integration platforms.
• Hands-on expertise designing and implementing Databricks Lakehouse solutions.
• Deep understanding of data product design principles and domain-driven architecture concepts.
• Advanced data modeling experience, including conceptual, logical, and physical data modeling techniques.
• Experience defining and implementing modern data integration patterns, including ELT, CDC, event-driven architectures, and streaming technologies.
• Experience working across hybrid cloud, on-premises, and SaaS application ecosystems.
• Strong understanding of enterprise data governance, metadata management, lineage, and data quality practices.
• Experience creating architecture deliverables, technical roadmaps, and solution diagrams using architecture tooling.
• Excellent communication, collaboration, stakeholder management, and documentation skills.
• Self-motivated, team-oriented mindset with a humble, low-ego approach to leadership and problem solving.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related technical field, or equivalent practical experience.
• Must be authorized to work in the United States.

Nice To Haves

• Utility industry experience, including electric, gas, energy, or telecommunications organizations.
• Experience with Salesforce data models, architecture, and integration patterns.
• Experience with SAP, SAP IS-U, or related utility platforms.
• AWS Aurora experience and expertise with relational database architectures.
• Knowledge of enterprise data fabrics and data mesh concepts.
• Experience supporting Customer 360 implementations.
• Exposure to AI-assisted architecture, AI enablement initiatives, or AI agent development.
• Experience working with major system integrators or enterprise software implementation partners.
• AWS, Databricks, TOGAF, or related cloud and architecture certifications.

Responsibilities

• Design and architect customer-domain data products that support enterprise business objectives.
• Define scalable ingestion and integration patterns across Salesforce, billing platforms, operational systems, and third-party applications.
• Architect end-to-end data pipelines into a Databricks Lakehouse environment hosted on AWS.
• Establish and maintain system-of-record and system-of-truth standards across customer data ecosystems.
• Evaluate and define data access strategies that balance operational performance, governance, scalability, and business needs.
• Guide data migration, conversion, and integration architecture for CIS modernization initiatives.
• Collaborate with solution architects, data engineers, business stakeholders, and vendors to deliver enterprise architecture solutions.
• Ensure alignment with enterprise governance standards, including data quality, lineage, metadata management, and compliance requirements.
• Create and maintain architecture artifacts, diagrams, standards, and technical documentation.
• Provide architectural leadership and oversight for modernization efforts, data movement strategies, and future-state data platforms.
• Support innovation initiatives focused on AI readiness, advanced analytics, and data product ownership.

Benefits

• Extensive medical plans for employees and dependents.
• Dental insurance.
• Vision insurance.
• HSA with company contribution.
• Company-sponsored life insurance.
• Short- and long-term disability insurance.
• Voluntary legal, hospital, accident, and pet wellness plans.
• 401(k) with matching.
• Paid holidays and paid time off.
• Career development and advancement opportunities.

What This Job Offers

• Career Level: Senior