Data Architect

Data Architect

Key Responsibilities:

Design and Develop Data Architecture Solutions:

• Designing data models (conceptual, logical, and physical) for transactional and analytical systems
• Establishing standards for data integration, storage, and retrieval
• Leveraging approved tools and technologies for data architecture

Establish Data Governance and Standards:

• Defining naming conventions, data modeling standards, and best practices
• Implementing metadata management and data lineage tracking
• Enforcing security and privacy standards for sensitive data

Oversee Data Integration and ETL Frameworks:

• Designing robust ETL frameworks aligned with data architecture principles
• Ensuring data quality, consistency, and integrity across systems
• Supporting CI/CD pipelines for data workflows

Lead and Mentor Teams:

• Guiding on data modeling, integration, and architecture best practices
• Conducting design reviews and providing feedback
• Promoting knowledge sharing and collaboration

Collaborate with Stakeholders:

Work closely with business analysts, application architects, and other teams to translate business requirements into data architecture solutions that enable analytics and operational efficiency.

Optimize Data Systems:

• Implementing performance tuning strategies
• Establishing monitoring and alerting mechanisms

Maintain Documentation and Knowledge Base:

• Data models, integration patterns, and governance frameworks
• Best practices and architectural guidelines

Stay Ahead of Emerging Trends:

Research and adopt emerging technologies in data architecture, cloud platforms, and big data ecosystems to enhance organizational capabilities.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field
• 12+ years of experience in data architecture and data engineering, with at least 3 years in an architectural leadership role
• Expertise in data modeling, data warehousing, and data governance principles
• Hands-on experience with ETL tools (Informatica Power Center/IDMC, Talend, SSIS) and data integration frameworks
• Strong proficiency in SQL and familiarity with programming languages (Python, Java, etc.)
• Excellent problem-solving and analytical skills
• Strong communication and collaboration abilities
  
  Experience with agile methodologies and version control systems (Git)

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Seniority level:
Mid-Senior level

Employment type:

Full-time

Job function:
Information Technology

Industries: IT Services and IT Consulting