Director-Data Architect-Azure Databricks

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Informatica certifications, TOGAF, PMP, or SAFe certifications

About the job you're considering

The Enterprise Data Architect is responsible for defining and evolving a modern, Databricks‑centric data and AI architecture supporting customer, consumer, manufacturing, and supply chain domains. This role focuses on designing scalable, high‑performance data and AI platforms that enable advanced analytics, machine learning, and generative AI solutions aligned with business strategy.The architect partners closely with business, analytics, and technology leaders to drive adoption of cloud‑native data platforms, accelerate AI innovation, and enable data‑driven decision‑making across the enterprise.

Location : Onsite -Richmond, Virginia, United States

Your Role :

Define and maintain enterprise data architecture principles, reference architectures, and future‑state roadmaps with a strong emphasis on Databricks and AI enablement

Design end‑to‑end data and AI architectures, including data ingestion, lakehouse storage, processing, analytics, machine learning, and generative AI workflows

Act as a strategic partner to business, analytics, and IT stakeholders to translate business objectives into scalable Databricks‑based data and AI solutions

Lead evaluation, selection, and adoption of cloud‑based data, analytics, and AI technologies, with Databricks as the core platform

Design architectures that support secure, resilient, and high‑performance AI and analytics workloads at enterprise scale

Identify and implement automation opportunities across data pipelines, ML workflows, and AI production deployments

Introduce and apply emerging technologies and innovative architecture patterns to accelerate AI‑driven business outcomes

Define and implement enterprise AI and advanced analytics architectures using Databricks ML and AI capabilities

Hands‑on experience with machine learning platforms, MLOps pipelines, feature engineering, and model deployment

Strong understanding of Generative AI, Large Language Models (LLMs), vector search, and AI application architectures

Apply AI solutions to:

Demand planning and forecasting

Customer and consumer insights

Intelligent manufacturing

Supply chain optimization

Required Qualifications

Bachelor’s or master’s degree in Computer Science, Engineering, or a related field

12–16+ years of experience in enterprise data architecture and large‑scale data platforms

Deep domain experience in customer, manufacturing, or supply chain data ecosystems

Proven ability to lead data and AI architecture initiatives and influence senior technical and business stakeholders

Strong communication skills with the ability to articulate complex AI and data concepts to executive leadership

Capgemini Architects certification level 3 or above, relevant data architecture certifications, IAF andoror industry certifications such as TOGAF 9 or equivalent.

Technology Stack (Representative)

Cloud Platforms

Microsoft Azure

Architecture Patterns

Lakehouse Architecture (Databricks‑centric)

Data Mesh

Event‑Driven Architecture

Data & Analytics Platforms

Databricks (Primary Platform)

Snowflake

Azure Synapse Analytics

Integration & Streaming

Apache Kafka

Azure Event Hubs

API Management

The base compensation range for this role in the posted location is:$188,000 to $202,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)

Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)

Life and disability insurance

Employee assistance programs

Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.