Data Architect

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 1 hour ago

Vacancies: 1 Vacancy

Job Summary

Title: Data Architect

Location: Geographically Diverse (Remote/Hybrid)
Experience Level: Senior (8-12 Years)
Employment Type: Contract

Job Summary

We are seeking a Senior Data Architect to design implement and optimize enterprise data solutions across multiple cloud platforms. The ideal candidate will have deep expertise in data architecture governance modeling and modern cloud ecosystems such as Azure Data Lake AWS Snowflake and Databricks. This role requires a blend of strategic vision and hands-on technical proficiency to shape the organizations data landscape and drive innovation.

Key Responsibilities

Design and implement enterprise-scale data architectures that align with business objectives.
Develop and manage data models warehousing and integration strategies across diverse systems.
Architect and optimize cloud-based data platforms including Azure AWS Snowflake and Databricks.
Establish and enforce data governance security and compliance frameworks.
Collaborate with cross-functional teams to enable scalable high-performance data pipelines and analytics.
Define best practices for data lifecycle management metadata and master data management (MDM).
Provide strategic leadership in adopting new data technologies and architectural patterns.
Mentor and guide data engineering teams to ensure architectural consistency and quality.

Required Skills and Experience

8-12 years of experience in data architecture and engineering.
Strong expertise in cloud data ecosystems (Azure Data Lake AWS Snowflake Databricks).
Proven experience in data modeling data warehousing and data integration design.
Advanced understanding of data governance privacy and compliance frameworks (GDPR HIPAA etc.).
Proficiency in SQL ETL tools and modern data pipeline orchestration frameworks.
Strong communication and stakeholder management skills with the ability to translate business needs into technical solutions.
Hands-on experience with big data frameworks data lakehouse architectures and real-time data processing.

Preferred Qualifications

Experience with machine learning data pipelines and AI-driven analytics architectures.
Familiarity with DevOps CI/CD and infrastructure-as-code (IaC) concepts.
Certifications in cloud architecture or data engineering (AWS Certified Data Analytics Azure Data Engineer etc.) are highly preferred.

Title: Data Architect Location: Geographically Diverse (Remote/Hybrid)Experience Level: Senior (8-12 Years)Employment Type: Contract Job Summary We are seeking a Senior Data Architect to design implement and optimize enterprise data solutions across multiple cloud platforms. The ideal candidate will...

Title: Data Architect

Location: Geographically Diverse (Remote/Hybrid)
Experience Level: Senior (8-12 Years)
Employment Type: Contract

Job Summary

Key Responsibilities

Design and implement enterprise-scale data architectures that align with business objectives.
Develop and manage data models warehousing and integration strategies across diverse systems.
Architect and optimize cloud-based data platforms including Azure AWS Snowflake and Databricks.
Establish and enforce data governance security and compliance frameworks.
Collaborate with cross-functional teams to enable scalable high-performance data pipelines and analytics.
Define best practices for data lifecycle management metadata and master data management (MDM).
Provide strategic leadership in adopting new data technologies and architectural patterns.
Mentor and guide data engineering teams to ensure architectural consistency and quality.

Required Skills and Experience

8-12 years of experience in data architecture and engineering.
Strong expertise in cloud data ecosystems (Azure Data Lake AWS Snowflake Databricks).
Proven experience in data modeling data warehousing and data integration design.
Advanced understanding of data governance privacy and compliance frameworks (GDPR HIPAA etc.).
Proficiency in SQL ETL tools and modern data pipeline orchestration frameworks.
Strong communication and stakeholder management skills with the ability to translate business needs into technical solutions.
Hands-on experience with big data frameworks data lakehouse architectures and real-time data processing.

Preferred Qualifications

Experience with machine learning data pipelines and AI-driven analytics architectures.
Familiarity with DevOps CI/CD and infrastructure-as-code (IaC) concepts.
Certifications in cloud architecture or data engineering (AWS Certified Data Analytics Azure Data Engineer etc.) are highly preferred.