Data Architect

HIGH BRIDGE CONSULTING LLC; Paramus (NJ); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Flexible work-from-home options

Job summary

HIGH BRIDGE CONSULTING LLC in Paramus, NJ is seeking a Data Architecture and Governance Lead for a hybrid role. You will design and implement data architecture strategies, develop enterprise data models, and establish governance policies to ensure data quality and regulatory compliance.

You will mentor the team, collaborate with stakeholders, and stay ahead of emerging data technologies, using tools like ER/Studio, AWS, and Tableau to enable data-driven decisions.

Qualifications

• MS in Computer Science or related field required.
• 5+ years in data architecture, modelling, governance or related areas.
• Expertise in data modelling, integration and warehousing.
• Experience with governance frameworks, policies and procedures.
• Proficiency with Oracle, SQL Server, PostgreSQL.
• Familiar with cloud platforms, data tooling, and BI tools.

Responsibilities

• Design and maintain data models aligned with business needs.
• Ensure data quality through standards, validation, and metadata management.
• Design and implement data integration architectures with ETL teams.
• Develop a comprehensive data governance framework and policies.
• Establish data governance roles and responsibilities.
• Create data policies on access, security, privacy, retention and compliance.
• Define and maintain data architecture principles for consistency.
• Promote data literacy and run training programs.
• Monitor compliance and conduct audits; report to leadership.
• Collaborate with cross-functional teams and communicate progress.

Skills

Data modelling

Data governance

Project management

Collaboration

ML concepts

Education

MS in Computer Science

Tools

ER/Studio

PowerDesigner

Erwin

Oracle

SQL Server

PostgreSQL

Hadoop

MongoDB

AWS

Azure

Tableau

Power BI

Job description

Data Architecture and Governance Lead

Our client, a major international utilities company is looking to hire a Data Architecture and Governance Lead. This role is based out of Paramus, NJ and is hybrid (3 days a week onsite)

The Data Architecture and Governance Lead is responsible for designing and implementing data architecture strategies, developing enterprise-wide data models, and establishing governance policies. This role collaborates with stakeholders to create innovative data solutions, ensures data quality and security, and maintains regulatory compliance. The ideal candidate will have extensive experience in data management tools, data quality assurance, and data governance. They will also mentor team members and stay ahead of emerging technologies in the field.

Key Responsibilities

• Design and maintain data models aligned with business requirements and system architectures.
• Ensure data quality by developing and enforcing standards, validation processes, and metadata management.
• Design and implement data integration architectures, collaborating with ETL developers for seamless data flow.
• Develop and implement a comprehensive data governance framework, including policies, procedures, and standards.
• Establish data governance roles and responsibilities across the organization.
• Create and implement data policies related to data access, security, privacy, retention, and compliance with regulations.
• Define and maintain data architecture principles to ensure consistency and scalability.
• Promote data literacy by creating training programs and fostering a data-driven culture.
• Monitor compliance with data governance policies and conduct regular audits.
• Collaborate with cross-functional teams, communicate progress to senior management, and advocate for data governance best practices.

Key Requirements

• MS in Computer Science or a related field.
• 5+ years of experience in data architecture, modelling, data governance, or related fields.
• Expertise in data modelling, data integration, and data warehousing.
• Experience with data governance frameworks, policies, and procedures.
• Proficiency in database management systems (e.g., Oracle, SQL Server, PostgreSQL).
• Experience with data modelling tools (e.g., ER/Studio, PowerDesigner, Erwin).
• Knowledge of big data technologies (e.g., Hadoop, MongoDB).
• Familiarity with cloud-based data platforms (e.g., AWS, Azure).
• Understanding of machine learning and AI concepts related to data modelling.
• Proficiency in data visualisation tools (e.g., Tableau, Power BI).
• Strong project management, organisational, and collaboration skills.
• Continuous learning mindset and adaptability to evolving data environments.

Flexible work from home options available.