The Data Engineering Architect will design and implement data architecture for enterprise data warehouses, lead data modeling activities, optimize data workflows, and mentor teams. Responsibilities include ensuring data integrity and supporting analytics needs, while overseeing the implementation of data warehouse solutions.
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.
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)
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