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Senior Data Architect (Databricks) Category: Analytics and Emerging Digital Technologies
Main location: United States, Texas, Dallas
Position ID:J1126-0896
Employment Type: Full Time
Position Description: Make an impact like never before.
We're growing rapidly and are looking for a Senior Data Architect to own the overall data architecture and technical solution direction for the client's engagement. Translate business and governance requirements into a scalable target state architecture, data product strategy, and implementation roadmap, serving as the primary technical contact for Technology and Architecture.
This position is located at client site in Dallas, Texas.
How You'll Make an Impact:
. Define how data will be stored, structured, integrated, consumed, secured, governed, and managed across the solution.. Design the criticality framework and data product strategy, including logical/physical data structures, source dependencies, lineage, metadata, access patterns, and lifecycle considerations.. Lead the Databricks workspace and Unity Catalog design, including catalog/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 modern Medallion Architecture patterns (bronze, silver, and gold layers) where appropriate.. Establish architecture standards that support 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 clearly to technical and non technical stakeholders.. Maintain architecture artifacts, standards, and roadmaps and provide technical direction through implementation and roll out.
What You'll Bring:
. Senior level experience designing and implementing enterprise data architectures, data platforms, data lakes/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/schema organization, permissions, and governance patterns. . Experience designing scalable structured and semi structured data repositories and supporting analytical/reporting use cases, including Medallion Architecture (bronze/silver/gold) and related data layer design 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.
Education: Bachelor's in computer science or closely related field.
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Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $116,200.00 $283,100.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
.Learning opportunities and tuition assistance
. Wellness and Well being programs
Skills: - Communication
- Data Architecture
- Data flow analysis
- Data Modeling
- Data Warehousing
- Databricks
- ETL
