Databricks Architect

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 Databricks Architect to join our team in Bangalore, Karntaka (IN-KA), India (IN).

Databricks Data Platform - Architect

Job Description

Role Summary

As a Databricks Architect , you will lead the design and implementation of scalable, secure, and high-performance data solutions using the Databricks Lakehouse Platform. You will define architectural standards, guide engineering teams, and collaborate with stakeholders to align data strategies with business goals. Your role will focus on leveraging Databricks' unified analytics capabilities to build enterprise-grade data platforms that support advanced analytics, machine learning, and real-time data processing.

Key Responsibilities :

• Define and own the end-to-end architecture of data platforms built on Databricks, including ingestion, transformation, storage, and consumption layers.
• Design and implement Lakehouse architectures using Delta Lake, Unity Catalog, and structured streaming.
• Proven expertise in implementing data governance using Unity Catalog, including fine-grained access control, column-level lineage, data classification, audit logging, and centralized metadata management across workspaces and cloud environments
• Architect scalable ETL / ELT pipelines using Apache Spark, PySpark, and Databricks Workflows.
• Lead the integration of Databricks with enterprise systems such as data catalogs, data quality frameworks, ML platforms, and BI tools.
• Guide teams in implementing CI / CD pipelines, version control, and automated testing for Databricks notebooks and jobs.
• Collaborate with data scientists, engineers, and business stakeholders to support ML model lifecycle management using MLflow.
• Demonstrated experience or familiarity with AI systems such as Databricks DBRX , Mosaic AI , and AutoML , including their integration into data.
• Provide technical leadership in performance tuning, cost optimization, and cluster configuration.
• Conduct architectural reviews, code audits, and mentoring sessions to ensure adherence to standards and scalability.
• Stay current with Databricks innovations and advocate for adoption of new features and capabilities.

Skills / Qualifications :

#GenAINTT

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at

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, .

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Skills Required

Terraform, Sql, Databricks, Apache Spark, Dimensional Modeling, Devops, Pyspark, Data Modeling, Azure Devops