Data Architect - ETL/Data Warehousing (10-16 yrs)

Location : Hyderabad, Bangalore and Pune

Experience : 10-17 Years

Work Mode : Hybrid

Mandatory Skills : Data Modeling, Data Warehousing, System Design, ETL/Data Pipeline, Cloud Platforms, Big Data (Spark/Kafka), APIs. Nice to have: SAP S/4 HANA, SAP Datasphere, Devops, AI/ML

Job Description :

We are seeking a Senior Data Architect with 10-16 years of experience to join our dynamic team. The ideal candidate will possess at least 3 years of experience working in cloud environments and have a deep understanding of data modeling, data warehousing, and system design.

Key Responsibilities :

- Design, implement, and optimize data models and architectures for large-scale data systems.

- Lead data warehousing and ETL/Data Pipeline development initiatives.

- Architect and maintain cloud-based data solutions using modern platforms.

- Collaborate with cross-functional teams to ensure data flows seamlessly across various systems.

- Develop and manage APIs for data integration and consumption.

Must-Have Skills :

- Data Modeling & Data Warehousing expertise.

- Strong experience with ETL/Data Pipeline tools.

- Expertise in Cloud platforms (AWS, Azure, GCP).

- Familiarity with Big Data technologies like Spark and Kafka.

- Proficiency in system design and architecture.

Nice-to-Have Skills :

- SAP S/4 HANA and SAP Datasphere experience.

- Knowledge of DevOps practices.

- Experience with AI/ML applications in data engineering.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, or related field.

- 10+ years of experience in data architecture or a related field.

- At least 3 years of experience working in a cloud environment.