Enterprise Data Architect

Capgemini
Phoenix, AZ, United States
24 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$120,000.0 - $155,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Amazon S3 Business Intelligence Development Information Engineering Extract Transform Load (ETL) Python (Programming Language) SQL Databases Multi-Cloud Data Layers Pyspark Star Schema
+2 more
Google Gemini Databricks

Job description

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.

Requirements

  • Data Platforms: Expert-level mastery of Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory (ADF), ADLS Gen2, Purview, Fabric IQ, Foundry, and Databricks. \n

  • Data Engineering: Strong hands-on background in SQL, Python, PySpark. \n

  • Data Modeling: Advanced proficiency in designing Star/Snowflake schemas. \n

  • Multi-Cloud: Practical knowledge of AWS and GCP (S3, Glue, Matillion, Redshift, Lambda, Aurora, Bedrock, GCP, GBQ, Gemini, Vertex).

Benefits & conditions

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  • Design and implement end-to-end enterprise architectures leveraging Microsoft Fabric (including OneLake, Data Factory, Data Science, Azure ML, Purview, Fabric IQ, and Foundry). \n

  • Pioneer modern data topologies such as Data Mesh, Lakehouse, and Data Product frameworks to support global scalability and domain-driven governance. \n

  • Architect hybrid and multi-cloud solutions seamlessly integrating data and services across Azure, AWS, GCP, Oracle Cloud, Databricks, Snowflake, and other platforms. \n

  • Ensure robust enterprise-grade governance, security, regulatory compliance, and trust boundaries across all data and AI products. \n

  • Lead clients on their AI journeys by designing pragmatic roadmaps to drive data readiness for agentic workflows. \n

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Leadership & Client Engagement

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  • Serve as a trusted advisor and client-facing technologist, effectively translating complex technical architecture into compelling business value stories for C-level executives. \n

  • Evangelize how to establish and scale a Data & AI Center of Excellence (COE) \n

  • Lead, mentor, and inspire cross-functional teams of data engineers, scientists, and analysts across multiple geographies. \n

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Execution & Business Impact

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  • Deliver ROI optimizing multi-cloud data infrastructure investments. \n

  • Oversee comprehensive data migration projects from legacy platforms to cloud-native target architectures. \n

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What you will bring to Sogeti:

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Experience & Leadership

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  • 15+ years of IT experience across Cloud, Big Data, Data Warehousing, and Data Architecture. \n

  • Proven track record spearheading multi-million-dollar digital transformation initiatives in domains like Financial Services, Healthcare, High Tech, Manufacturing, or Supply Chain. \n

  • Exceptional storytelling, communication, and consultative selling capabilities. \n

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\n, 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.

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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.

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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.

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