
5001 - 10000 employees
Founded 2002
🤝 B2B
🏢 Enterprise
💸 Finance
B2B • Enterprise • Finance
Huron Consulting Group is a global consultancy that provides a wide range of services including strategy, operations, advisory, digital, technology, and analytics solutions to various sectors such as healthcare, education, energy, and financial services. Huron helps organizations navigate complex challenges and drive growth through tailored solutions and innovative strategies. The company employs a team of experts dedicated to delivering high-impact solutions that address the unique needs of each client, focusing on areas such as managed services, outsourcing, and leadership development.
🕒 June 2
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5001 - 10000 employees
Founded 2002
🤝 B2B
🏢 Enterprise
💸 Finance
B2B • Enterprise • Finance
Huron Consulting Group is a global consultancy that provides a wide range of services including strategy, operations, advisory, digital, technology, and analytics solutions to various sectors such as healthcare, education, energy, and financial services. Huron helps organizations navigate complex challenges and drive growth through tailored solutions and innovative strategies. The company employs a team of experts dedicated to delivering high-impact solutions that address the unique needs of each client, focusing on areas such as managed services, outsourcing, and leadership development.
• 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
• 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)
• medical, dental, and vision coverage to employees and dependents • 401(k) plan with a generous employer match • employee stock purchase plan • generous Paid Time Off policy • paid parental leave and adoption assistance • Wellness Program supporting employee total well-being
Apply Now🕒 May 27
10,000+ employees
🏢 Enterprise
🔒 Cybersecurity
☁️ SaaS
IT Platform Lead for Kyndryl responsible for data engineering platforms supporting analytics and AI/ML. Leading efforts in modernization, compliance, and performance for enterprise-scale systems.
Airflow
Amazon Redshift
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Hadoop
Java
Kafka
PySpark
Python
Scala
Spark
SQL
🕒 May 21
10,000+ employees
🏢 Enterprise
🔒 Cybersecurity
☁️ SaaS
Lead Data Engineer at Kyndryl managing enterprise data engineering services. Overseeing data quality, pipeline reliability, and governance in a fast-paced environment.
Python
SQL
🕒 May 21
10,000+ employees
🏢 Enterprise
🔒 Cybersecurity
☁️ SaaS
Lead Data Engineer managing technical strategy and operations for Kyndryl's enterprise data engineering services. Responsible for data quality, pipeline reliability, and governance across multiple platforms.
Python
SQL
🕒 May 20
1001 - 5000
🤖 Artificial Intelligence
🔒 Cybersecurity
Lead Data Engineer focusing on data engineering and architecture in AI & Data Engineering team. Collaborate with Product, Data Science, and Analytics teams.
Airflow
AWS
ETL
Google Cloud Platform
Informatica
Python
SQL
🕒 May 20
1001 - 5000
🤖 Artificial Intelligence
🔒 Cybersecurity
Data Engineer responsible for ETL processes and managing Data Warehousing solutions. Collaborating with teams to design and implement modern data platforms.
ETL