Senior Data Architect

You will design, build, and enhance our SQL data warehouse, ETL processes, and Azure environments, as well as troubleshoot data and database issues. To excel in this role, you need a keen eye for detail, experience with the Azure data stack, and a deep understanding of data architecture fundamentals.

Responsibilities:

• Implement new or upgraded cloud data strategies and Azure platforms.
• Create Entity Relationship diagrams and write relational database queries.
• Create database objects and maintain referential integrity.
• Manage master data, including creation, updates, and deletion.
• Design, implement, and help maintain ETL migrations to Azure Data Factory.
• Process confidential data and information according to strict guidelines defined by the subject area owners.
• Provide quality assurance of imported data, working with business stakeholders and analysts.
• Participate in peer design reviews and development sessions within the team.
• Develop data models and is responsible for data acquisition, access analysis, archive, recovery, load design, and implementation.
• Support initiatives for data integrity and normalization.
• Collaborates with internal customers to capture requirements.
• Design, create, document, manage, and fulfill user requests for new or existing datasets.
• Adhere to SDLC processes and standards to ensure proper coding practices are followed.
• Provide technical expertise on data storage structures, mining, and cleansing.
• Apply best-of-breed data pipeline and data model design patterns to achieve robust and flexible data solutions.

Qualifications :

• Bachelor’s degree or equivalent from an accredited institution in computer science.
• 8+ years of Work experience as a data architect or in a related field.
• Strong Azure data stack experience.
• Well-versed in Data Structure algorithms, Ability to analyze existing tools and databases and provide software solution recommendations.
• Ability to translate business requirements into non-technical, lay terms.
• Demonstrated experience in handling large data sets and relational databases.
• Build modern data reporting solutions in cloud technologies including Power BI a plus
• Expert in Enterprise Data, Data Warehousing, Azure Cloud Data platforms
• Integration experience with multiple source systems such as Salesforce, and custom-developed systems using REST API.
• Modeling warehousing and ETL methodology making use of cloud-based technologies in the Microsoft Stack (Microsoft SQL Server along with complementary technologies such as Azure Data Studio, Azure Data Factory, Blob Storage.