Data Architect (Databricks)

NTT Ltd; Singapore; On-site; SGD 100,000 - 130,000; Full time

Job summary

A leading technology service provider in Singapore is seeking a Data Architect specialized in Databricks. You will lead the architecture of data platforms, ensuring high performance and security. The ideal candidate should have over 10 years of experience in data roles, with substantial experience in Databricks. Excellent communication skills are essential for engaging with senior client stakeholders. This position offers competitive compensation and opportunities for career growth.

Benefits

Competitive salary

Career development opportunities

Qualifications

• 10–15+ years in data & analytics roles.
• 7–10+ years in data architecture/solution design.
• 3–5+ years hands-on experience with Databricks.

Responsibilities

• Lead Data Architect for Databricks-based platforms.
• Design end-to-end data architectures.
• Ensure alignment with performance and security best practices.

Skills

Data architecture expertise

Communication skills

Agile methodologies

Cloud platforms experience

Tools

Databricks

Azure

Job description

Overview

Req ID: 354957

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Architect (Databricks) to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Responsibilities

• Act as the lead Data Architect for Databricks-based data platforms and products
• Design end-to-end data architectures covering ingestion, processing, storage, and consumption
• Define Lakehouse architecture using Databricks (Delta Lake, Unity Catalog, etc.)
• Work closely with client stakeholders, product owners, delivery leads, data engineers and analytics teams
• Translate business and analytical requirements into scalable technical designs
• Ensure architecture aligns with performance, security, governance, and cost-optimization best practices
• Support Agile delivery, including sprint planning, design workshops, and incremental releases
• Provide architectural guidance during implementation and unblock delivery issues
• Review and approve technical designs, data models, and implementation patterns

Experience & Qualifications

• Total Experience: 10–15+ years in data & analytics roles
• Relevant Experience: 7–10+ years in data architecture / solution design
• Databricks Experience: 3–5+ years hands-on (architecture + delivery)
• Client-Facing / Consulting Experience: 3+ years working directly with demanding enterprise clients
• Seniority or grade is flexible, but the candidate must demonstrate architect-level ownership, confidence, and delivery maturity

Minimum Skills & Technical Competencies

• Strong expertise in data architecture and data platform design
• Deep understanding of data warehousing, lakehouse patterns, and batch and streaming data processing
• Databricks (Mandatory): Databricks Lakehouse architecture, Delta Lake, Databricks Workflows, Unity Catalog (governance & security); experience designing production-grade Databricks solutions
• Cloud & Data Engineering: Experience on Azure (preferred) or equivalent cloud platforms; strong understanding of data ingestion frameworks, ETL/ELT patterns, data modeling (analytical & dimensional); ability to guide data engineers on best practices

Delivery & Ways of Working

• Proven experience working in Agile / Scrum delivery models
• Comfortable delivering in fast-paced, iterative programs
• Experience working with offshore teams while engaging closely with onshore clients

Communication & Stakeholder Skills (Critical)

• Strong verbal and written communication skills
• Ability to lead architecture discussions with senior client stakeholders
• Challenge requirements constructively and explain complex technical concepts in simple business language
• Confidence to work with a demanding client environment

Nice to Have

• Consulting or systems-integrator background
• Experience delivering energy, utilities, or large enterprise data platforms
• Exposure to data governance, data quality frameworks, and regulatory environments

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries, and we offer access to a robust ecosystem of innovation centers and partners. NTT DATA is part of the NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. In-office attendance may be required for meetings or events based on client requirements. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form at https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to all users. If you would like to contact us regarding accessibility or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. For more information on your EEO rights, please click here. For Pay Transparency information, please click here.