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Senior role with strong HPE brand and Bangalore location but niche database and big-data skills limit candidate pool.
Enterprise data architecture and specific platform expertise reduces cross-industry portability.
Explicit 10+ years and many mandatory databases, big-data and cloud skills.
Own the design, implementation, and management of scalable, secure enterprise data architectures aligning with business goals.
Develop and optimize database designs, data integration strategies, and oversee ETL/ELT and data pipelines including real-time and batch processing.
Lead data governance, security compliance, and collaborate cross-functionally while mentoring technical teams and guiding architecture reviews.
10+ years of experience in data architecture, database design, and data engineering.
Bachelor’s or Master’s degree in Computer Science, Data Management, or related field.
Strong expertise in PostgreSQL, ClickHouse, Cassandra, RDBMS (Oracle, SQL Server, MySQL), NoSQL databases (MongoDB, Redis), big data platforms (Hadoop, Spark), and cloud data services (AWS Redshift, Azure Synapse, Google BigQuery).
Onsite work required primarily at HPE partner/customer office.
Senior-level data architect comfortable with hands-on design and technical leadership in complex, enterprise-scale environments.
Experienced in multi-technology data ecosystems including relational, NoSQL, big data and cloud-native platforms, demonstrating operational ownership of performance and security.
Capable of driving cross-team collaboration and mentoring, with ability to translate business analytics needs into reliable and compliant data infrastructure solutions.