Data Engineering

Req ID: 345813

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 Engineering & Analytics Architect to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Role: Own the strategy, governance, and end-to-end architecture for backend data pipelines, transformation logic, and real-time/batch analytics (dashboards & reports).

Responsibilities:

Define data-first architecture, standards, and blueprints across ingestion, cleansing, enrichment, modeling, and serving layers.

Lead design of batch and streaming pipelines (e.g., Informatica, Spark, AWS Glue, Azure Data Factory/Databricks); choose fit-for-purpose storage/compute.

Establish semantic/serving models and integration patterns for Power BI, Tableau, SSRS, SSAS (tabular models, datasets, data marts).

Set data quality and validation frameworks aligned to CLIENT benchmarks; champion lineage, metadata, and observability.

Enforce security, privacy, and compliance (PII handling per CLIENT data classification; encryption, RBAC, secrets).

Drive audit readiness (controls, documentation, evidence) and lead internal security reviews.

Partner with data governance and platform teams; mentor developers and review designs/PRs; guide cost/performance optimization.

Requirements:

10+ years in data/analytics platforms, 5+ years in data architecture.

Expertise in ETL/ELT with Informatica and/or Spark/PySpark, plus native cloud data services (AWS Glue, Azure ADF/Databricks).

Proven integration with Power BI, Tableau, SSRS, SSAS; strong dimensional/Data Vault modeling.

Hands-on with streaming (Kafka/Kinesis/Event Hubs) and batch orchestration (Airflow/ADF/Glue Workflows).

Deep knowledge of security, governance, and audit practices; excellent stakeholder leadership.

Client compliance & notes (apply to all roles):

Handle PII/customer data per CLIENT classification policies; projects subject to internal audits/security reviews.

Though ~10-15% of footprint, data projects are high-complexity and multi-sprint; close collaboration with data governance and platform teams is critical.

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 and email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form,

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