Overview
Role description
We are looking for an experienced Data Architect to design, build, and manage scalable data solutions. The ideal candidate will have strong expertise in Databricks, Azure Data Factory, ETL frameworks, and Data Governance, with the ability to architect modern data platforms on cloud environments.
Key Responsibilities:
Design and implement scalable data architecture and data pipelines using Databricks and Azure Data Factory.
Develop and manage ETL processes for data ingestion, transformation, and integration.
Define and implement data governance frameworks, ensuring data security, quality, and compliance.
Collaborate with business and technical teams to translate requirements into data architecture solutions.
Optimize data workflows for performance, reliability, and cost efficiency.
Establish best practices for data modeling, data integration, and metadata management.
Support analytics and reporting teams by enabling high-quality, accessible data platforms.
Mandatory Skills:
Databricks
Azure Data Factory
ETL Development / Data Integration
Data Governance
Optional / Good to Have Skills:
Python
SQL
Data Quality Management
Experience:
8+ years of experience in Data Engineering / Data Architecture
Experience in cloud-based data platforms (Azure preferred)
Education:
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
Skills
databricks,azure data factory,data governance,etl,python,sql,data quality management