Description :

About the Role :

We are looking for a Senior Data Architect to join our Data, AI & GenAI practice at Rapyder.

The role demands deep technical expertise in data warehousing and ETL, hands-on cloud migration experience, and the ability to translate business needs into scalable data architectures.

You will collaborate closely with sales, customers, and delivery teams to design enterprise-grade data solutions that deliver measurable business outcomes.

Roles & Responsibilities :

Must Have Technical Skills :

- Expertise in ETL tools such as Azure Data Factory (ADF), Informatica, AWS Glue, or similar.

- Hands-on experience in designing & implementing Data Warehousing solutions.

- Proven track record of building at least two Enterprise Data Warehouses from scratch.

- Strong experience in data migration from on-premise to cloud platforms.

- Ability to design ETL/ELT processes, create data flows, and resolve technical challenges.

- Translate business vision into ETL solution architecture with clarity and precision.

Must Have Communication & Collaboration :

- Strong oral and written communication skills.

- Ability to present complex technical topics to large audiences.

- Experience working directly with customers and sales teams to define solutions and project designs.

Good to Have Technical Skills :

- Knowledge of Azure SQL Database, Data Warehouse, Snowflake, Synapse, or Redshift.

- Familiarity with scripting languages (Shell, PowerShell, Perl, Python, Scala).

- Understanding of data governance best practices and master data management.

- Exposure to maturity assessments for existing DW/ETL solutions.

- Strong knowledge of relational and dimensional modeling.

- Competency in data security techniques, including anonymization.

- Experience in defining cloud migration strategies.

Good to Have Research & Development :

- Proactive in research and POCs, evaluating alternative solutions, and preparing technical reports.

Requirements :

- Experience: Minimum 10 years in IT, with at least 5 years in Data Warehouse & ETL technologies.

- Minimum 23 years of hands-on work on cloud platforms (AWS/Azure) using services such as Azure Data Factory v2, Synapse, Redshift, Databricks, Snowflake, or Talend.

- Expertise in at least one OEM (AWS or Azure)