Enterprise Data Architect - Azure​/ETL

We are seeking a proactive  Enterprise Data Architect  to lead the design and implementation of comprehensive data architectures, primarily leveraging  Azure  and  Snowflake  platforms. You will oversee complex  ETL processes , design customer-centric datasets, and drive the creation of advanced data models. This role requires strong leadership, technical expertise in cloud platforms and data warehousing, and the ability to effectively translate business needs into robust technical solutions.

Roles & Responsibilities :
Lead the design, development, and implementation of comprehensive enterprise data architectures, primarily leveraging  Azure  and  Snowflake .
Oversee and guide complex data transformation and  ETL processes  for large and diverse datasets, ensuring data integrity, quality, and performance.
Specialize in designing and optimizing customer-centric datasets from various sources, including  CRM, Call Center, Marketing, Offline, and Point of Sale  systems.
Drive the creation and maintenance of advanced data models, including Relational, Dimensional, Columnar, and Big Data models.
Develop, optimize, and troubleshoot complex  SQL and No

SQL  queries.
Apply advanced data warehousing concepts to build and manage high-performing, scalable data warehouse solutions.
Evaluate, recommend, and implement industry-leading  ETL tools  such as  Informatica and Unifi .
Lead efforts in business requirements definition, structured analysis, process design, and use case documentation.
Collaborate with reporting teams, providing architectural guidance and support for technologies like  Tableau and Power

BI .
Apply professional software development principles and best practices to data solution delivery.
Interface effectively with sales teams and directly engage with customers to understand their data challenges.
Act as a self-managed, proactive, and customer-focused leader, driving innovation and continuous improvement.

Skills Required:

Strong experience with data transformation and  ETL  on large datasets.
Proven experience in designing customer-centric datasets from sources like  CRM, Call Center, and Marketing .
Extensive experience with advanced  data modeling  concepts (Relational, Dimensional, Columnar, Big Data).
Proficiency in complex  SQL or No

SQL  query languages.
Expertise in advanced  Data Warehouse  concepts.
Proven experience with industry-standard  ETL tools  such as  Informatica  or  Unifi .
Solid experience with Business Requirements definition, structured analysis, process design, and use case documentation.

Experience with reporting technologies like  Tableau  and  Power

BI .
Demonstrated experience in professional software development.
Exceptional organizational skills and the ability to manage multiple projects effectively.
Strong verbal and written communication skills to interface with sales teams and customers.
Must be self-managed, proactive, and customer-focused.
Cloud Platforms:  Microsoft Azure.
Data Warehousing:  Snowflake.

QUALIFICATION:

Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.