Data Leader/Delivery Manager

About Sutherland

Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland
Unlocking digital performance. Delivering measurable results.

JD For – Data Leader/Delivery Manager (Big Data, Enterprise Data)

Role & Responsibilities:

• Provide program level support on client development projects in Big Data, Datawarehouse/Data Lake.
• Guide clients in setting up and execution of the roadmap and vision for enterprise data warehouse, big data, BI & analytics, and data management.
• Recommend & drive the standards for Data Quality across multiple datasets, Governance best practices and drive for data trust across client enterprise.
• Partner with client business and technology stakeholders to drive future state architecture for enterprise Data, Reporting and Analytics platform and solutions.
• Lead Cloud Strategy development, modernization defining business drivers, cloud adoption roadmap and business value.
• Support technical pre-sales efforts and attend customer meetings as needed, to function as a trusted advisor to clients.
• Participate and oversee the design of Cloud solutions, from conceptual, logical, and physical design to meet client’s business and technical requirements leveraging architecture patterns and following development processes.
• Define architecture/blueprints, and advise clients on technology strategy, Migration/modernization, cloud adoption.
• Lead data migration, modernization projects of databases/data warehouses (Oracle or Teradata) from on-premises to AWS/GCP cloud.

Qualifications:

• 15+ Years of IT experience in Big data, Datawarehouse & Data Architecture
• Experience in implementing large scale projects like Modernization, Migration of Data & Applications
• Experience with RDBMS, Data warehouse/Data Lake platforms like Oracle, Teradata, Snowflake, BI and ETL tools DataStage, Tableau
• Implementation, management and tuning experience of Data Warehouse with complex ETL Data Pipelines
• Experience in Data Modelling, Schema Design, Query Tuning and Optimization, and Data Migration and Integrations
• Prior project experience in data normalization, meta data management, source to target data mapping documentation using industry standard tools
• Prior experience in executing projects in data quality & Data Governance
• Detailed understanding of the Cloud Infrastructure for building & maintaining large data enterprise in cloud platforms like GCP (BigQuery, BigTable, DataFlow, DataProc, DataPrep, Pub/Sub, Machine Learning)
• Minimum of 3 years of development, and implementation of enterprise-level data solutions utilizing large data sets
• Good knowledge data governance and compliance regulations GDPR/CCPA/PCI

All your information will be kept confidential according to EEO guidelines.

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