Enterprise Data Architect

Sogeti; Phoenix (AZ); Presencial; USD 120.000 - 155.000; Jornada completa

Descripción de la vacante

Sogeti is seeking an Enterprise Data Architect located in Phoenix, AZ, onsite five days a week with occasional travel to Dallas. You will design and lead modern data platform architectures using Microsoft Fabric and cloud ecosystems, driving multi-million dollar digital transformations and building a Center of Excellence for self-service analytics and AI monetization.

You will mentor data engineers and analysts, translate complex technical concepts for executives, and guide clients on pragmatic

Formación

• 15+ years of IT experience across Cloud, Big Data, Data Warehousing, and Data Architecture.
• Proven track record leading multi-million-dollar digital transformation initiatives across Finance, Healthcare, and manufacturing sectors.

Responsabilidades

• Design and implement end-to-end enterprise architectures.
• Architect multi-cloud solutions across Azure, AWS, GCP and other platforms.
• Establish governance, security, and compliance for data and AI products.
• Lead clients on AI journeys and develop pragmatic roadmaps.
• Deliver ROI by optimizing multi-cloud data infrastructure investments.

Conocimientos

Leadership

Strategic thinking

Communication

Stakeholder management

Mentoring

Herramientas

Microsoft Fabric

Azure Synapse Analytics

Azure Data Factory

ADLS Gen2

Purview

Fabric IQ

Foundry

Databricks

Power BI

Tableau

SQL

Python

PySpark

AWS

GCP

Descripción del empleo

***Candidate must be located in Phoenix, AZ and onsite 5 days a week with occasional travel to our Dallas, TX office. ***

Job Overview:

We are seeking an Enterprise Data Architect to design, build, and spearhead modern data platform architectures using Microsoft Fabric and next-generation cloud ecosystems. In this role, you will bridge the gap between complex business strategies and high-performance technical execution. You will drive multi-million dollar digital transformations, design scalable data architectures, and build Centers of Excellence (COE) that empower self-service analytics and AI monetization.

What you will do:

Architecture & Strategy

• Design and implement end-to-end enterprise architectures leveraging Microsoft Fabric (including OneLake, Data Factory, Data Science, Azure ML, Purview, Fabric IQ, and Foundry).
• Pioneer modern data topologies such as Data Mesh, Lakehouse, and Data Product frameworks to support global scalability and domain-driven governance.
• Architect hybrid and multi-cloud solutions seamlessly integrating data and services across Azure, AWS, GCP, Oracle Cloud, Databricks, Snowflake, and other platforms.
• Ensure robust enterprise-grade governance, security, regulatory compliance, and trust boundaries across all data and AI products.
• Lead clients on their AI journeys by designing pragmatic roadmaps to drive data readiness for agentic workflows.

Leadership & Client Engagement

• Serve as a trusted advisor and client-facing technologist, effectively translating complex technical architecture into compelling business value stories for C-level executives.
• Evangelize how to establish and scale a Data & AI Center of Excellence (COE)
• Lead, mentor, and inspire cross-functional teams of data engineers, scientists, and analysts across multiple geographies.

Execution & Business Impact

• Deliver ROI optimizing multi-cloud data infrastructure investments.
• Oversee comprehensive data migration projects from legacy platforms to cloud-native target architectures.

What you will bring to Sogeti:

Experience & Leadership

• 15+ years of IT experience across Cloud, Big Data, Data Warehousing, and Data Architecture.
• Proven track record spearheading multi-million-dollar digital transformation initiatives in domains like Financial Services, Healthcare, High Tech, Manufacturing, or Supply Chain.
• Exceptional storytelling, communication, and consultative selling capabilities.

Technical Deep Dive

• Data Platforms: Expert-level mastery of Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory (ADF), ADLS Gen2, Purview, Fabric IQ, Foundry, and Databricks.
• Data Engineering: Strong hands-on background in SQL, Python, PySpark.
• Data Modeling: Advanced proficiency in designing Star/Snowflake schemas.
• Multi-Cloud: Practical knowledge of AWS and GCP (S3, Glue, Matillion, Redshift, Lambda, Aurora, Bedrock, GCP, GBQ, Gemini, Vertex).
• BI & Analytics: Hands-on experience designing executive-level semantic layers and dashboards using Power BI and Tableau.

Nice to haves:

• Practical knowledge of Vector databases and Knowledge Graphs (Pinecone, Neo4J, Neptune, Cosmos).
• Practical knowledge of agentic frameworks (LangGraph, Crew AI, Strands, A2A).
• AI certifications on Azure / AWS / GCP.
• Certifications on Fabric / Snowflake / Databricks.
• Project management experience and/or PMP certification.
• Agile experience and/or certifications (Scrum Master, Product Owner, Product Manager).

About Sogeti

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.

Become Your Best | www.sogeti.us

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $120,000 - $155,000.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.