Job Role : Data Warehouse- Senior Technical Architect
Location : Providence, RI- Remote
Contract
Mandatory Skills
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Modernization migration from legacy Data Warehouse platform from Netezza, DataStage into Azure cloud native Snowflake, MatillionDBT platform
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Healthcare Payer Industry experience
Job Description
Job Summary
To play a pivotal role in designing and implementing complex technical solutions, ensuring they align with business objectives and industry best practices. (1.) Key Responsibilities
1. To design and architect large-scale solutions, ensuring scalability, performance, and security.
3. To continuously upskill with cutting-edge tech to deliver high-quality, future-proof solutions meeting client expectations and industry standards.
4. To leverage domain/tech expertise to gather client needs, deliver solutions, and craft a technology strategy aligned with business goals.
Additional requirement:
“Required Skills
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15+ years of experience with expertise in solutioning Data Warehouse platform, architecting designing complex Data Analytics projects
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Experience in modernization migration from legacy Data Warehouse platform from Netezza, DataStage into Azure cloud native Snowflake, MatillionDBT platform
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Metadata and business glossary management, and data quality.
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Experience in creating Data Flow Diagrams (DFD)
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Healthcare Payer Industry experience
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Experience in designing the logical and physical data models for the Datawarehouse as per business requirements
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In-depth knowledge of Azure Cloud data capabilities and services and how those relate to the development/migration activities.
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Must have hands-on experience (development/migration) on Azure Data Lake Gen2, Snowflake, Matillion, DBT
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Experience on migrating large Datahub to Cloud.
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Experience on decommissioning co-ordination after migration for Source systems.
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Good understanding of DevOps and Data pipeline automation platforms
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Familiarity with legal and regulatory requirements relevant to cloud data architecture, such as SOX, PCI, HIPAA, and Data Protection (GDPR, DPDP 2023)
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Familiarity with cryptographic algorithms and security protocols.
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Skilled in designing and building distributed systems for processing large data volumes.
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Excellent communication, presentation, and interpersonal skills are essential.
Responsibilities
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Lead and/or assist in designing and developing cloud-based data systems, tailoring solutions to meet business requirements.
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Develop comprehensive architecture solution migration roadmaps seamlessly integrating business processes and technologies.
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Design, develop and enforce standards for data migration, storage, processing, and governance across all environments.
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Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns.
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Develop, document, and maintain overall view of data platform architecture, data acquisition, data quality, and data retention.
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Provide formal and informal training for data engineers, platform engineers and ETL developers.
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Maintain knowledge of emerging technologies and architectures”
