Offer summary

Qualifications:

7+ years of experience in data engineering or architecture roles., Expertise in Microsoft Azure data services, particularly Azure Data Factory., Proficiency in SQL Server and advanced SQL development., Strong understanding of data governance and quality frameworks..

Key responsibilities:

Design and implement scalable data warehouse architecture.

Develop and maintain ETL pipelines using Azure Data Factory.

Establish data governance frameworks and ensure data quality.

Collaborate with stakeholders and contribute to project planning.

Job description

We are seeking a highly experienced Data Engineer/Architect to join our Digital ID Data Integration & Data Warehouse Project. In this role, you will work closely with the Tech Lead, software developers, analysts, and other cross-functional teams to architect and implement scalable, secure, and automated data integration solutions. You will play a key role in shaping the architecture, supervising development, and ensuring data governance and quality across all phases of the project.

Key Responsibilities

Design and implement scalable data warehouse architecture
Develop and maintain ETL pipelines using Azure Data Factory
Establish robust data governance frameworks and quality standards
Lead data modeling and database design initiatives
Automate manual data processes for efficiency and scalability
Ensure data validation and data de-identification protocols are in place
Design secure and efficient API interfaces for data access
Recommend best-practice integration strategies for diverse data sources
Drive architectural decisions to support long-term scalability and maintainability
Contribute to project planning and technical documentation across multiple project phases
Potentially supervise a senior developer within the project team
Collaborate with stakeholders and conduct micro-workshops as needed

Qualifications

7+ years of experience in data engineering, architecture, or similar roles
Expertise in Microsoft Azure data services, including Azure Data Factory and Azure Functions
Proficiency in SQL Server, Azure SQL, and advanced SQL development (stored procedures, optimization)
Experience with data integration, especially consolidating disparate data sources into unified repositories
Strong understanding of data governance, data quality frameworks, and de-identification techniques
Hands-on skills in TypeScript and/or Python for data processing
Solid background in API design and implementation
Familiarity with Power BI for reporting and visualization
Experience using Git and version control best practices
Excellent communication skills, with the ability to translate complex technical concepts for business stakeholders
Proven experience leading discussions and engaging stakeholders in technical planning sessions

Required profile