Data Architect

We are seeking an experienced Enterprise Data Architect to define, govern, and evolve the enterprise-wide data architecture that enables analytics, operational excellence, and data-driven decision-making. This role partners closely with business leaders, application architects, engineers, and security teams to ensure data solutions are scalable, secure, and aligned with business strategy., Enterprise Data Architecture & Strategy

• Define and maintain the enterprise data architecture roadmap, standards, and reference architecture
• Design conceptual, logical, and physical data models across enterprise platforms
• Establish best practices for data integration, storage, metadata, and lifecycle management

Data Platforms & Integration

• Architect solutions across data warehouses, data lakes, lakehouses, and cloud-native platforms
• Guide integration patterns for ETL/ELT, APIs, streaming, and event-driven data pipelines
• Ensure interoperability across cloud, on-prem, and SaaS platforms

Governance, Security & Quality

• Partner with data governance teams to implement data stewardship, lineage, and metadata management
• Ensure compliance with security, privacy, and regulatory requirements (e.g., PII, HIPAA, GDPR, SOX as applicable)
• Define data quality frameworks, controls, and monitoring standards

Analytics & Advanced Use Cases

• Enable enterprise analytics, BI, AI/ML, and self-service reporting capabilities
• Support domain-oriented and product-aligned data architectures (e.g., data mesh where applicable)

Leadership & Collaboration

• Act as a thought leader and advisor to senior leadership and project teams
• Review and approve solution designs to ensure architectural alignment
• Mentor data architects, engineers, and analysts

Minimum Education:Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred) Minimum Experience:10+ years of experience in data architecture, data engineering, or enterprise architecture Required Knowledge, Skills, & Abilities:

• Strong expertise in:

• Enterprise data modeling (conceptual, logical, physical)
• Data warehousing and data lake architectures
• SQL and relational database design
• Experience with cloud platforms (Azure, AWS, or GCP) and modern data services

Preferred Skills & Experience

• Experience with tools and technologies such as:

• Snowflake, Databricks, Redshift, BigQuery, Synapse
• Kafka, Azure Event Hubs, or other streaming platforms
• SSIS, Datastage,Informatica or similar integration tools
• Familiarity with TOGAF or similar architecture frameworks
• Strong communication skills with both technical and non-technical stakeholders

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