Data Architect

Cognizant; Hong Kong; On-site; HKD 900,000 - 1,400,000; Full time

Job summary

Cognizant is seeking a senior data architect to define and guide enterprise data architecture strategies in a cloud-first environment. You will design data lake, warehouse, and lakehouse architectures and establish ETL/ELT patterns to enable scalable data products.

Lead data modeling initiatives and support cloud data platform architecture using AliCloud, Databricks and Azure, while driving robust data governance including cataloging, lineage, compliance and access control.

Qualifications

• 10+ years of experience in data architecture and enterprise data platforms.
• Strong knowledge of Data Lake, Data Warehouse, and Lakehouse architectures.
• Experience with Medallion Architecture and Data Products concepts.
• Hands-on experience with AliCloud, Databricks, and Azure data platforms.
• Proficiency in Spark and PySpark.
• Knowledge of data governance including catalog, lineage, compliance, and access control.

Responsibilities

• Define and guide enterprise data architecture strategies.
• Design data lake, warehouse, and lakehouse architectures.
• Establish ETL/ELT, ingestion, and transformation patterns.
• Lead data modeling initiatives.
• Support cloud data platform architecture using AliCloud, Databricks, and Azure.
• Drive data governance practices including catalog, lineage, compliance, and access control.

Skills

Enterprise data architecture

Data lake/warehouse/lakehouse

ETL/ELT design

Data modeling

Spark/PySpark

Data governance

Tools

Databricks

AliCloud

Azure

Spark

Job description

Responsibilities

• Define and guide enterprise data architecture strategies
• Design data lake, warehouse, and lakehouse architectures
• Establish ETL/ELT, ingestion, and transformation patterns
• Lead data modeling initiatives
• Support cloud data platform architecture using AliCloud, Databricks, and Azure
• Drive data governance practices including catalog, lineage, compliance, and access control

Qualifications and Skills

• 10+ years of experience in data architecture and enterprise data platforms
• Strong knowledge of Data Lake, Data Warehouse, and Lakehouse architectures
• Experience with Medallion Architecture and Data Products concepts
• Expertise in ETL/ELT, ingestion, and transformation design patterns
• Hands-on experience with AliCloud, Databricks, and Azure data platforms
• Proficiency in Spark and PySpark
• Strong data modeling experience
• Knowledge of data governance including catalog, lineage, compliance, and access control

#LI-AL1

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.