Citizant

Solution Architect - 100% Remote (REF1560M)

Citizant Chantilly, VA
No longer accepting applications

Responsibilities

Job Description

Supporting the Chief Data Officer (CDO), focusing on initiatives such as Data Governance, Data Inventory Program (DIP), Data Architecture, and Ontology development.

The ideal candidate will possess a strong technical background in data management practices and a proven track record of designing and implementing innovative solutions to support organizational objectives.

Collaborate with the Chief Data Officer and key stakeholders to translate data policies and strategies into actionable technical solutions.

Design and implement frameworks and processes to support data policy compliance and alignment with organizational goals.

Will lead the design and implementation of comprehensive data governance frameworks, including defining governance structures, roles, and responsibilities.

Develop data governance policies, standards, and procedures to ensure data quality, security, and privacy.

Architect data inventory solutions to support the Data Inventory Program, including defining inventory scope, metadata standards, and data lineage documentation.

Design scalable and efficient data inventory repositories to facilitate data discovery and management.

Lead the design and implementation of data architecture solutions, including data modeling, schema design, and ontology development.

Develop ontologies to standardize data definitions and promote semantic interoperability across systems and applications.

Serve as a technical expert and escalation point for resolving complex issues related to data management processes, systems, and technologies.

Collaborate with cross-functional teams to troubleshoot problems and implement effective solutions.

Create detailed solution architecture documentation, including architecture diagrams, design specifications, and technical requirements.

Communicate architecture decisions and rationale to stakeholders and ensure alignment with business objectives.

Evaluate emerging technologies and tools in the data management space to identify opportunities for innovation and improvement.

Make recommendations for technology adoption and lead proof-of-concept efforts to validate solution feasibility.

Engage with stakeholders at all levels of the organization to understand business requirements, gather feedback, and communicate project updates.

Build strong relationships with business partners to foster collaboration and support the achievement of project goals.
  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Engineering and Information Technology
  • Industries

    IT Services and IT Consulting

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