Senior Technical Architect

TechDigital Group; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a seasoned professional to lead the design and implementation of advanced data solutions. This pivotal role involves modernization migration from legacy platforms to cutting-edge cloud technologies, ensuring alignment with business objectives and industry standards. The ideal candidate will leverage extensive experience in Data Warehouse architecture and cloud services to drive innovation and efficiency. With a focus on developing comprehensive migration strategies and maintaining high data quality, this position offers a unique opportunity to impact the future of data management in the healthcare sector. Join a forward-thinking company where your expertise will shape the landscape of data solutions.

Qualifications

• 15+ years of experience in Data Warehouse architecture and complex Data Analytics projects.
• Hands-on experience with Azure Data Lake, Snowflake, and Matillion.

Responsibilities

• Design and develop cloud-based data systems tailored to business needs.
• Develop migration roadmaps integrating business processes and technologies.

Skills

Data Warehouse Architecture

Azure Cloud Services

Snowflake

Matillion

Data Flow Diagrams (DFD)

DevOps

Data Quality Management

Healthcare Payer Industry Knowledge

Cryptographic Algorithms

Communication Skills

Tools

Azure Data Lake Gen2

DBT

Job description

Mandatory Skills:
Modernization migration from legacy Data Warehouse platform from Netezza, DataStage into Azure cloud native Snowflake, MatillionDBT platform.
Healthcare Payer Industry experience.

Job Summary:
To play a pivotal role in designing and implementing complex technical solutions, ensuring they align with business objectives and industry best practices.

Key Responsibilities

1. To design and architect large-scale solutions, ensuring scalability, performance, and security.
2. To train and develop team so as to ensure that there is an adequate supply of trained Client in the said technology and delivery risks are mitigated.
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 Requirements:

1. 15+ years of experience with expertise in solutioning Data Warehouse platform, architecting designing complex Data Analytics projects.
2. Experience in modernization migration from legacy Data Warehouse platform from Netezza, DataStage into Azure cloud native Snowflake, MatillionDBT platform.
3. Metadata and business glossary management, and data quality.
4. Experience in creating Data Flow Diagrams (DFD).
5. Healthcare Payer Industry experience.
6. Experience in designing the logical and physical data models for the Datawarehouse as per business requirements.
7. In-depth knowledge of Azure Cloud data capabilities and services and how those relate to the development/migration activities.
8. Must have hands-on experience (development/migration) on Azure Data Lake Gen2, Snowflake, Matillion, DBT.
9. Experience on migrating large Datahub to Cloud.
10. Experience on decommissioning coordination after migration for Source systems.
11. Good understanding of DevOps and Data pipeline automation platforms.
12. Familiarity with legal and regulatory requirements relevant to cloud data architecture, such as SOX, PCI, HIPAA, and Data Protection (GDPR, DPDP 2023).
13. Familiarity with cryptographic algorithms and security protocols.
14. Skilled in designing and building distributed systems for processing large data volumes.
15. Excellent communication, presentation, and interpersonal skills are essential.

Responsibilities:

1. Lead and/or assist in designing and developing cloud-based data systems, tailoring solutions to meet business requirements.
2. Develop comprehensive architecture solution migration roadmaps seamlessly integrating business processes and technologies.
3. Design, develop and enforce standards for data migration, storage, processing, and governance across all environments.
4. Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns.
5. Develop, document, and maintain overall view of data platform architecture, data acquisition, data quality, and data retention.
6. Provide guidance in migration of ETL jobs including developing best practices.
7. Provide formal and informal training for data engineers, platform engineers and ETL developers.
8. Maintain knowledge of emerging technologies and architectures.