Capgemini
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We are seeking a
Data Management Architect
to lead the
design and implementation of the Platinum Layer
within the Databricks Lakehouse architecture for the
State of Texas MSI Transition Project . This role requires deep expertise in
Databricks, Delta Lake, Unity Catalog, and semantic modeling , with hands‑on experience integrating
ServiceNow (ITSM/SLM)
and
ApptioOne (ITFM) . You will be responsible for architecting scalable, governed, and analytics‑ready data solutions that enable AI and SLA‑driven insights for enterprise performance management.
Key Responsibilities
Architect and implement the Platinum Layer for semantic modeling, SLA analytics, and AI readiness.
Design and deliver low‑level technical solutions for data ingestion, transformation, and reporting pipelines.
Integrate ServiceNow SLA data and ApptioOne financial models into the Lakehouse environment.
Define, implement, and enforce data governance policies using Unity Catalog.
Collaborate with DIR, Capgemini, and SCPs to align architecture with strategic business objectives.
Build reusable frameworks supporting real‑time SLA breach prediction, cost analysis, and executive dashboards.
Support CI/CD pipeline development and DevOps automation for end‑to‑end data workflows.
Communicate and demonstrate high‑level technology benefits of Databricks to leadership and business stakeholders.
Recommend and operationalize best practices for Databricks in standard build configurations.
Technical Profile
8+ years in Data Architecture, including 3+ years with Databricks and Delta Lake.
Strong knowledge of Medallion Architecture, Unity Catalog, and semantic layer design.
Proven ability to build Platinum/Semantic Layers enabling analytics and AI.
Hands‑on integration experience with ServiceNow (SLA, CMDB, Incident Data).
Hands‑on integration experience with ApptioOne (Cost Modeling, Allocations).
Proficient in Python, Spark, SQL, and Power BI for ETL and analytics development.
Experience with MLflow, Feature Store, and AI/ML pipelines for predictive analytics.
Familiarity with Azure Data Factory, Azure DevOps, and GitHub Actions for CI/CD.
Strong understanding of governance, lineage, and metadata management within Databricks.
Functional Profile
Experienced in enterprise data management and governed analytics delivery.
Ability to align technical architecture with financial and operational KPIs.
Excellent communication and collaboration skills across business, technology, and government teams.
Strong leadership in stakeholder management and cross‑functional solution delivery.
Demonstrated success in governance implementation and data democratization strategies.
Skills Summary Core Expertise:
Databricks Lakehouse Architecture, Medallion Data Model, Semantic/Platinum Layer Design, Data Governance
Languages & Frameworks:
Python, PySpark, SQL, Power BI
Reactive & Event‑Driven Tools:
MLflow, Feature Store
Cloud & Containerization:
Azure Data Factory, Azure DevOps, GitHub Actions
Database & Messaging:
Delta Lake, ServiceNow Data Integration, ApptioOne Integration
DevOps & CI/CD:
Azure DevOps Pipelines, GitHub Actions, Automated Deployment Frameworks
Other Tools & Technologies:
Unity Catalog, ServiceNow (ITSM/SLM), ApptioOne (ITFM), AI/ML Pipelines
Soft Skills:
Strategic Architecture Planning, Stakeholder Engagement, Cross‑Functional Collaboration, Technical Leadership, Clear Communication
The pay range that the employer in good faith reasonably expects to pay for this position is $65.77/hour - $102.77/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non‑public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
Seniority level Mid-Senior level
Employment type Contract
Job function Engineering and Information Technology
Referrals increase your chances of interviewing at Capgemini by 2x
Austin, Texas Metropolitan Area $190,000 - $215,000 3 days ago
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Get AI-powered advice on this job and more exclusive features.
We are seeking a
Data Management Architect
to lead the
design and implementation of the Platinum Layer
within the Databricks Lakehouse architecture for the
State of Texas MSI Transition Project . This role requires deep expertise in
Databricks, Delta Lake, Unity Catalog, and semantic modeling , with hands‑on experience integrating
ServiceNow (ITSM/SLM)
and
ApptioOne (ITFM) . You will be responsible for architecting scalable, governed, and analytics‑ready data solutions that enable AI and SLA‑driven insights for enterprise performance management.
Key Responsibilities
Architect and implement the Platinum Layer for semantic modeling, SLA analytics, and AI readiness.
Design and deliver low‑level technical solutions for data ingestion, transformation, and reporting pipelines.
Integrate ServiceNow SLA data and ApptioOne financial models into the Lakehouse environment.
Define, implement, and enforce data governance policies using Unity Catalog.
Collaborate with DIR, Capgemini, and SCPs to align architecture with strategic business objectives.
Build reusable frameworks supporting real‑time SLA breach prediction, cost analysis, and executive dashboards.
Support CI/CD pipeline development and DevOps automation for end‑to‑end data workflows.
Communicate and demonstrate high‑level technology benefits of Databricks to leadership and business stakeholders.
Recommend and operationalize best practices for Databricks in standard build configurations.
Technical Profile
8+ years in Data Architecture, including 3+ years with Databricks and Delta Lake.
Strong knowledge of Medallion Architecture, Unity Catalog, and semantic layer design.
Proven ability to build Platinum/Semantic Layers enabling analytics and AI.
Hands‑on integration experience with ServiceNow (SLA, CMDB, Incident Data).
Hands‑on integration experience with ApptioOne (Cost Modeling, Allocations).
Proficient in Python, Spark, SQL, and Power BI for ETL and analytics development.
Experience with MLflow, Feature Store, and AI/ML pipelines for predictive analytics.
Familiarity with Azure Data Factory, Azure DevOps, and GitHub Actions for CI/CD.
Strong understanding of governance, lineage, and metadata management within Databricks.
Functional Profile
Experienced in enterprise data management and governed analytics delivery.
Ability to align technical architecture with financial and operational KPIs.
Excellent communication and collaboration skills across business, technology, and government teams.
Strong leadership in stakeholder management and cross‑functional solution delivery.
Demonstrated success in governance implementation and data democratization strategies.
Skills Summary Core Expertise:
Databricks Lakehouse Architecture, Medallion Data Model, Semantic/Platinum Layer Design, Data Governance
Languages & Frameworks:
Python, PySpark, SQL, Power BI
Reactive & Event‑Driven Tools:
MLflow, Feature Store
Cloud & Containerization:
Azure Data Factory, Azure DevOps, GitHub Actions
Database & Messaging:
Delta Lake, ServiceNow Data Integration, ApptioOne Integration
DevOps & CI/CD:
Azure DevOps Pipelines, GitHub Actions, Automated Deployment Frameworks
Other Tools & Technologies:
Unity Catalog, ServiceNow (ITSM/SLM), ApptioOne (ITFM), AI/ML Pipelines
Soft Skills:
Strategic Architecture Planning, Stakeholder Engagement, Cross‑Functional Collaboration, Technical Leadership, Clear Communication
The pay range that the employer in good faith reasonably expects to pay for this position is $65.77/hour - $102.77/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non‑public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.
Seniority level Mid-Senior level
Employment type Contract
Job function Engineering and Information Technology
Referrals increase your chances of interviewing at Capgemini by 2x
Austin, Texas Metropolitan Area $190,000 - $215,000 3 days ago
#J-18808-Ljbffr