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The Enterprise Data Architect (EDA) is responsible for defining and advancing the company’s enterprise-wide data strategy across all non-product engineering business functions. The EDA will lead the development of a comprehensive framework to design, implement, and govern enterprise data. This effort will integrate diverse business systems, unify fragmented data, and provide accurate, trusted, and easily accessible information to empower decision-making and drive operational excellence. The EDA will define and champion the enterprise-wide data governance framework, aligning business and technology needs to deliver seamless processes for functional leaders and empower technical teams to create scalable, future-ready solutions.
Job Responsibility:
Define and own the enterprise data strategy in alignment with corporate goals
Design and maintain comprehensive data architecture spanning ERP, HRIS, CRM, ATS, Finance, and other core business systems
Ensure the architecture supports scalability, performance, and resilience as the company grows
Lead initiatives to break down data silos and establish trusted, unified sources of truth across the organization
Champion a company-wide data governance framework
Facilitate Regular Meetings
Drive Cross-Functional Collaboration
Identify & Track Data Gaps
Coordinate Remediation Efforts
Implement Monitoring & Alerts
Maintain Governance Policies
Ensure Compliance
Measure Effectiveness
Continuously Improve
Champion the adoption of a Universal Data Model
Steer the design and implementation of integrations between business systems
Coordinate data orchestration pipelines
Evaluate emerging data technologies, tools, and best practices
Continuously improve data quality, monitoring frameworks, and performance metrics
Lead efforts to democratize data access
Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field
10+ years of experience in data architecture, data engineering, or enterprise systems integration
Proven track record in designing enterprise-level data architectures in complex, multi-system environments
Expertise in data modeling, MDM, Meta Data, and data governance frameworks
Experience with cloud-based data platforms (AWS, Azure, GCP) and modern data stacks (e.g., Redshift, BigQuery, Snowflake)
Experience with integration platforms (ETL/ELT, APIs, event streaming, middleware)
Knowledge of data security (tokenization, encryption, access controls) and compliance frameworks
Strong ability to influence cross-functional stakeholders and drive consensus across departments
Excellent communication skills, capable of presenting complex data concepts to both technical and non-technical audiences
Strategic thinker with the ability to balance long-term architecture vision with short-term delivery needs
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