Senior Data Architect (Databricks)

CGI•Dallas, TX

1d•$116,200 - $283,100•Onsite

About The Position

CGI is hiring a Senior Data Architect to own the overall data architecture and technical solution direction for a client engagement. The role translates business and governance requirements into a scalable target-state architecture, data product strategy, and implementation roadmap, and serves as the primary technical contact for Technology and Architecture. The position is located at a client site in Dallas, Texas. The architect defines how data is stored, structured, integrated, consumed, secured, governed, and managed across the solution. The role includes designing data products and criticality frameworks; leading Databricks workspace and Unity Catalog design; establishing data flows and integration patterns; and applying Medallion Architecture patterns where appropriate. The architect sets standards for quality, discoverability, scalability, security, and maintainability, partners with stakeholders to produce implementable designs, evaluates architectural options and risks, and provides technical direction through implementation and rollout. The position requires senior-level enterprise data architecture experience, hands-on Databricks architecture familiarity, and the ability to translate business and governance requirements into technical designs and roadmaps. A bachelor's degree in computer science or a closely related field is required. The stated U.S. compensation range is $116,200 to $283,100. Eligible professionals receive benefits beginning on their first day of employment.

Requirements

Senior-level experience designing and implementing enterprise data architectures, data platforms, data lakes or warehouses, or analytics ecosystems.
Strong experience with data modeling, data flows, data integration, metadata, lineage, source-to-target mapping, and data lifecycle management.
Hands-on Databricks architecture experience, including strong familiarity with Unity Catalog, workspace design, catalog and schema organization, permissions, and governance patterns.
Experience designing scalable structured and semi-structured data repositories and supporting analytical and reporting use cases, including Medallion Architecture and related data-layer patterns.
Ability to translate business requirements and governance standards into logical and physical designs, technical specifications, and implementation roadmaps.
Experience collaborating with data owners, stewards, application owners, end users, engineers, analysts, and architecture stakeholders.
Strong understanding of security, privacy, access control, and enterprise data governance considerations.
Familiarity with cloud data platforms, ETL/ELT, batch and/or real-time data flows, and modern analytics architectures.
Excellent technical communication, architecture documentation, facilitation, and problem-solving skills.
Bachelor's degree in computer science or a closely related field.

Responsibilities

Own the overall data architecture and technical solution direction for the client engagement.
Translate business and governance requirements into a scalable target-state architecture, data product strategy, and implementation roadmap.
Serve as the primary technical contact for Technology and Architecture.
Define how data is stored, structured, integrated, consumed, secured, governed, and managed across the solution.
Design the criticality framework and data product strategy, including logical and physical data structures, source dependencies, lineage, metadata, access patterns, and lifecycle considerations.
Lead Databricks workspace and Unity Catalog design, including catalog and schema organization, permissions, group-based access controls, governance boundaries, and operating patterns.
Define data flows and integration patterns across source systems, analytics, reporting, and downstream consumers; identify migration and dependency considerations; and apply Medallion Architecture patterns where appropriate.
Establish architecture standards supporting data quality, discoverability, scalability, security, and maintainability.
Partner with analysts, data owners, stewards, engineers, and business stakeholders to translate requirements into implementable technical designs and specifications.
Assess architectural options, dependencies, risks, and trade-offs, and communicate recommendations to technical and nontechnical stakeholders.
Maintain architecture artifacts, standards, and roadmaps, and provide technical direction through implementation and rollout.