oracle
Data Domain Architect Assoc
JPMorganChase
Bengaluru, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago
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Job Responsibilities
- Partner with business stakeholders, analysts, and platform users to understand data requirements, business objectives, and functional needs.
- Design scalable, reliable, and performant data architectures and domain models that support enterprise data products and analytical workloads.
- Collaborate with data engineering teams to develop and enhance data pipelines, datasets, and lakehouse solutions aligned with architectural standards and best practices.
- Validate and test data models, transformations, and enhancements to ensure accuracy, quality, and alignment with business requirements.
- Establish and maintain technical documentation, data definitions, lineage information, and user-facing documentation supporting platform capabilities.
- Implement and manage data quality controls, validation frameworks, reconciliations, and operational runbooks to ensure data integrity and platform reliability.
- Drive continuous improvement and innovation by identifying opportunities to optimize data structures, processes, and platform performance.
- Support Agile delivery practices and contribute to the successful execution of strategic data initiatives across global teams.
Required Qualifications, Capabilities, and Skills
- Minimum 3 years of experience in Data Analytics, Data Engineering, Data Architecture, Business Analysis, or a related discipline.
- Demonstrated experience working with SQL, ETL processes, data warehousing concepts, and large-scale data platforms.
- Strong understanding of data modeling, data lifecycle management, and analytical data structures.
- Ability to translate complex business problems into scalable technical solutions and actionable requirements.
- Experience collaborating effectively within Agile and cross-functional teams while managing responsibilities independently.
- Strong written and verbal communication skills with the ability to engage stakeholders across varying levels of technical expertise.
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