For over half a decade, Hudson Manpower has been a trusted partner in delivering specialized talent and technology solutions across IT, Energy, and Engineering industries worldwide. We work closely with startups, mid-sized firms, and Fortune 500 clients to support their digital transformation journeys. Our teams are empowered to bring fresh ideas, shape innovative solutions, and drive meaningful impact for our clients. If you're looking to grow in an environment where your expertise is valued and your voice matters, then Hudson Manpower is the place for you. Join us and collaborate with forward thinking professionals who are passionate about building the future of work.

Job Description

• Key Responsibilities:

  • Design and implement enterprise-wide data architecture that supports business strategy and growth.

  • Develop data models, data lakes, and data warehouses for both structured and unstructured data.

  • Establish and enforce data governance, security, and compliance frameworks across the organization.

  • Evaluate and recommend data storage, processing, and management technologies (SQL/NoSQL, cloud platforms, etc.).

  • Lead data integration, migration, and ETL initiatives across diverse systems and platforms.

  • Collaborate with engineering, business intelligence (BI), and analytics teams to ensure data accessibility and flow efficiency.

  • Monitor and optimize database performance, scalability, and security.

  • Ensure compliance with GDPR, HIPAA, CCPA, and other relevant regulatory standards.

  • Stay current with emerging data technologies, tools, and industry best practices to continually improve data capabilities.

Required Skills & Qualifications:

• Proven experience in Enterprise Data Architecture and Data Modeling.

• Proficiency with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB, Cassandra).

• Strong hands-on experience with cloud data platforms such as AWS (Redshift), Azure (Synapse), and GCP (BigQuery, Snowflake).

• Expertise in Big Data technologies and Analytics platforms.

• Solid understanding of ETL and Data Integration processes.

• Knowledge of data governance, metadata management, and data security frameworks.

• Excellent collaboration and communication skills, with the ability to work across cross-functional teams