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