Data Architect

We are looking a hands-on technologist who will shape modern data architecture across cloud and on-prem environments in a large-scale banking ecosystem. This role designs scalable patterns for application, analytics, workflow, and AI-enabled workloads while guiding the evolution of legacy systems into secure, resilient, and future-ready platforms. The ideal candidate balances strategy, design, and hands-on execution-proving concepts through code, solving complex data challenges, and influencing senior technologists. You will work across diverse systems, define architectural patterns, and enable teams to modernize data environments with practical, AI-aware solutions.

This role requires deep expertise in distributed data systems, application and workflow integration, and analytic platforms, along with the ability to translate current-state constraints into forward-looking architectures. Experience using both traditional development and AI-assisted engineering tools is key. Beyond technical leadership, you will mentor teams, align architecture to business outcomes, and communicate effectively with both technical and business stakeholders. Success in this role requires driving solutions that balance innovation with measurable value, including considerations of scalability, cost (TCO), and ROI.

In this role, you will:

• Act as an advisor to senior leadership to develop the architectural framework & delivery for highly complex business and technical needs across multiple groups
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering products and solutions that are long-term, large-scale, and require vision, creativity, innovation, advanced analytical and inductive thinking
• Provide vision, direction, and expertise to senior leadership on implementing the transformation strategy describing the current state, target state, and transition architecture
• Develop and influence strategic plans, investment planning, and execution on cutover strategies to target
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an architectural domain expert advisor to leadership
• Drive target investments towards target technologies and rationalize spend, total cost of ownership, and return on investment
• Ensure applications adhere to established client’s standards, policies, methodologies, and industry best practices as it transforms toward target state architecture
• Drive the definition, establishment, selection of strategic tools, and application of architecture frameworks
• Maintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organization and can influence internal and vendor roadmaps in a significant capacity

• 7+ years of experience in data architecture, data engineering, database platforms, or enterprise technology roles, with significant experience in large-scale financial services or banking environments.
• 7+ years of designing enterprise-scale data architectures across hybrid cloud, public cloud, private cloud, and on-premises platforms.
• 7+ years of experience with relational, NoSQL, columnar, distributed, and shared-nothing database technologies., * Proven ability to design scalable architectures using partitioning, sharding, replication, workload isolation, horizontal scaling, and distributed processing patterns
• Experience architecting batch, streaming, event-driven, real-time, near-real-time, and API-based data integration patterns
• Strong understanding of how application workloads, analytical workloads, reporting workloads, workflow engines, and AI/ML workloads interact with enterprise data platforms
• Hands-on capability with technologies such as SQL, Python, Java, Spark, Kafka, Airflow, APIs, and modern data pipeline frameworks
• Expertise in data modeling, including conceptual, logical, physical, dimensional, canonical, domain-driven, and event-based models
• Strong knowledge of data security architecture, including encryption, tokenization, masking, access controls, entitlement models, secrets management, and audit logging
• Ability to define and evaluate non-functional technical requirements, including latency, throughput, scalability, availability, resiliency, recovery, observability, security, and maintainability
• Familiarity with designing data architectures that support AI, machine learning, feature engineering, model training, retrieval-augmented generation, vector search, and analytical workloads
• Experience developing reference architectures, reusable design patterns, platform standards, technical guardrails, and implementation blueprints

Job Expectations:

Ability to travel up to 10% of the time.

Ability to work a hybrid work schedule - 3 days a week on-site/in office and 2 days a week remote.

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.

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.