Data Architecture Strategist
6 dagen geleden
We are looking for a highly skilled Data Architecture Strategist to join our team at Cognizant. As a Cloud Data Solution architect, you will be responsible for leading joint solution/offering architecture discussions with partner architects/stakeholders and supporting development. You will also craft and manage solution architecture and proposal defense for reactive and proactive proposals responses for data platforms and solutions on cloud.
Key Responsibilities:
- Drive turnkey proposals for data platforms, analytics, built cost summaries, value propositions as part of cloud modernization, data portfolio rationalization
- Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement data platforms, multi-cloud , cloud data warehouse
- Independently lead client design workshops and provide tradeoffs and recommendations
- Contribute to the Cognizant Data community by developing assets, thought leadership, etc.
Requirements:
- Certified Solution Architect on one of the clouds
- Aware of PaaS services relating to Data, Analytics and end-point API interfaces - EMR/Dataproc/Databricks etc.
- High-level awareness of other partner technologies, which are alternative to native services like Snowflake, Cloudera, Talend, Informatica, Confluent, etc.
What you will bring to the team:
- Excellent consulting, communication, influencing and facilitation skills, in particular problem solving/troubleshooting activities.
- Lead key data architecture decisions, design of architectural roadmaps, database, data access and data technology architectures
- Provide expertise on the overall data eco-system's engineering best practices, standards, architectural approaches, and complex technical resolutions
- Holistic knowledge of solution architecture, including: data layers and purpose, serverless compute, processing run time – ETL vs Spark run time, etc., security controls around authentication, authorizations, encryption and certificates, recommend the migration tools and design data migration strategy, metadata and data catalogs
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