Data Architect Lead Consultant
Apply now »Date: Jul 19, 2026
Location: Gurugram, HR, IN
Company: NTT DATA Services
Req ID: 367465
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 Lead Consultant to join our team in Gurugram, Haryāna (IN-HR), India (IN).
Role Summary
We are looking for an experienced dbt Architect to design and lead scalable data transformation solutions using dbt and modern cloud data platforms. The role requires strong expertise in dbt, SQL, data modeling, cloud data warehouses, CI/CD, Airflow and Control M along with the ability to establish architecture standards and guide engineering teams.
Key Responsibilities
- Design and own enterprise-scale dbt architecture and transformation frameworks.
- Define dbt project structures, modeling standards, reusable macros, packages, and development best practices.
- Architect scalable ELT solutions across Snowflake, Databricks, SQL Server, Oracle
- Establish standards for dbt models, incremental processing, snapshots, testing, documentation, and lineage.
- Design and implement CI/CD pipelines and deployment strategies for dbt projects.
- Drive SQL and dbt model performance optimization.
- Establish data-quality, governance, security, and observability practices.
- Integrate dbt with orchestration platforms such as Airflow, Control M.
- Conduct architecture and code reviews and troubleshoot complex data-platform issues.
- Mentor data/analytics engineers and collaborate with architects, engineering teams, and business stakeholders.
Must-Have Skills
- 10+ years of Data Engineering / Data Pipelines / Data Warehousing experience.
- 3+ years of strong hands-on dbt experience (dbt Core and/or dbt Cloud).
- Advanced SQL and data modeling expertise.
- Strong knowledge of dbt models, materializations, macros/Jinja, tests, snapshots, packages, incremental models, and lineage.
- Strong understanding of ELT architecture and dimensional data modeling.
- Experience with Git, CI/CD and DevOps practices.
- Experience with orchestration and data pipeline frameworks.
- Strong architecture, problem-solving, communication, and stakeholder-management skills.
- Python scripting/automation knowledge.
Good to Have
- dbt certification and/or advanced dbt Cloud experience.
- Experience migrating legacy ETL solutions such as Informatica to dbt.
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 unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. 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, https://us.nttdata.com/en/contact-us.
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