Senior Data Architect

2 weeks ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

Job Title

We are seeking a highly skilled and experienced professional to join our organization in the capacity of Senior Data Architect. This role requires expertise in designing, implementing, and optimizing enterprise-level data integration and analytics solutions using SAP Datasphere.

This position plays a key role in collaborating with cross-functional teams to ensure seamless solution delivery and provide guidance and mentorship to junior team members and peers on SAP Datasphere best practices.

The ideal candidate will have proficiency in SAP Datasphere, including spaces, data modeling, and integration features. They must also have a strong understanding of SAP ecosystem components, including S/4HANA, BW/4HANA, HANA Cloud, SAC, and BTP.

Key Responsibilities:

  • Design and architect scalable, high-performing, and secure data integration and analytics solutions using SAP Datasphere and associated SAP technologies.
  • Provide technical leadership in integrating SAP Datasphere with other enterprise systems, including SAP S/4HANA, SAP BW/4HANA, SAP Analytics Cloud (SAC), and non-SAP systems.
  • Define and implement data modelling strategies, leveraging SAP Datasphere capabilities like spaces, semantic layers, and virtual access.

Required Skills and Qualifications:

  • 8+ years of experience in data architecture, data warehousing, and analytics, with at least 3 years of hands-on experience in SAP Datasphere.
  • Strong SQL and data modeling skills, including star and snowflake schemas.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud, particularly in hybrid data landscapes.
  • Knowledge of data integration technologies, including ETL/ELT tools, APIs, and SAP Data Intelligence.

Benefits:

  • Opportunity to work with a cutting-edge technology stack.
  • Collaborative and dynamic work environment.
  • Potential for career growth and professional development.

Others:

  • Excellent problem-solving and analytical skills.
  • Strong communication and stakeholder management abilities.
  • Proven ability to lead technical teams and manage multiple priorities.
  • Commitment to continuous learning and staying current with emerging data technologies.

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