Data Engineering Architect

Huron; Bengaluru; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

Huron is seeking a Data Engineering Architect in Bengaluru, India, to drive scalable data platform architecture. Ideal candidates should have strong expertise in Informatica IICS and data warehousing.

The role involves defining data architecture, leading modeling initiatives, and ensuring data quality. Applicants should possess a blend of architectural vision and hands-on skills, with 9-11 years of experience in relevant areas.

Qualifications

• 9–11 years of experience in data engineering, ETL, and data warehousing.
• Strong hands-on experience with Informatica IICS.
• Proven experience in data warehouse modeling and implementation.

Responsibilities

• Define and design end-to-end data architecture, including Data Warehouse.
• Lead data modeling initiatives using dimensional modeling techniques.
• Design and implement scalable data warehouse solutions.

Skills

Informatica Intelligent Cloud Services (IICS)

Data warehousing design

SQL

ETL development

Data modeling

Performance tuning

Data governance

Tools

AWS

Azure

GCP

Snowflake

Databricks

Power BI

Tableau

Looker

Job description

Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.

Join our team as the expert you are now and create your future.

We are seeking an experienced Data Engineering Architect with deep expertise in Informatica Intelligent Cloud Services (IICS) and strong data warehousing design and implementation capabilities. This role will drive the architecture of scalable data platforms while ensuring robust, well‑modeled data foundations that support analytics and business intelligence.

The ideal candidate will bring a blend of architectural vision and hands‑on expertise in designing and implementing enterprise‑grade data warehouses and data integration frameworks.

Requirements

• Define and design end‑to‑end data architecture, including enterprise data warehouse (EDW) and data marts
• Lead data modeling initiatives using dimensional modeling techniques (star schema, snowflake schema, fact/dimension design)
• Design and implement scalable data warehouse solutions aligned with business and analytics needs
• Establish standards for data modeling, naming conventions, and metadata management
• Lead implementation of Informatica IICS (CDI, CAI, and related services)
• Architect and govern ETL/ELT pipelines supporting data warehouse loading and transformation
• Optimize data integration workflows for performance, scalability, and cost efficiency
• Mentor teams on best practices in ETL development and data warehouse integration
• Define data quality frameworks and validation strategies for warehouse data
• Ensure consistency and integrity across source‑to‑target data flows
• Implement auditing, lineage, and reconciliation mechanisms
• Work closely with business stakeholders to translate reporting and analytics needs into data models and warehouse designs
• Partner with BI and analytics teams to ensure data structures support reporting, dashboards, and advanced analytics
• Collaborate with cloud and enterprise architecture teams
• Oversee implementation of data warehouse solutions, including schema design, ETL development, and deployment
• Support UAT, production rollout, and performance tuning of warehouse environments
• Drive CI/CD and automation practices for data engineering workflows

Preferences

• 9–11 years of experience in data engineering, ETL, and data warehousing
• Strong hands‑on experience with Informatica IICS (Cloud Data Integration, Application Integration)
• Proven experience in data warehouse modeling and implementation
• Expertise in dimensional modeling (fact tables, dimensions, SCDs, conformed dimensions)
• Strong proficiency in SQL and performance tuning
• Experience designing and implementing enterprise data warehouses and data marts
• Knowledge of cloud platforms (AWS, Azure, or GCP)
• Strong understanding of data governance, data quality, and metadata management
• Experience with modern cloud data warehouses (Snowflake, Redshift, BigQuery, Databricks)
• Familiarity with IICS Data Quality (IDQ)
• Knowledge of Data Vault or hybrid modeling approaches
• Experience with Python/Spark for data processing
• Exposure to BI tools (Power BI, Tableau, Looker)

Position Level

Manager

Country

India