Data Architect

Job Description :

We are looking for an experienced Data Architect to design and define enterprise data architecture, data models, and scalable data solutions. The ideal candidate should have strong expertise in data architecture, data modeling, cloud data platforms, data governance, and modern data engineering technologies.

Key Responsibilities :

- Design and define enterprise data architecture aligned with business and technology objectives.

- Develop scalable and secure data architectures for data warehouses, data lakes, lakehouses, and analytical platforms.

- Define conceptual, logical, and physical data models for enterprise applications and analytics.

- Establish data architecture standards, principles, patterns, and best practices.

- Evaluate business and technical requirements and translate them into scalable data solutions.

- Design data ingestion, integration, transformation, and distribution architectures.

- Work closely with Data Engineers, Data Scientists, BI teams, Application Architects, and business stakeholders.

- Define architecture for batch and real-time data processing and analytics.

- Design and optimize data pipelines and data integration patterns across multiple source systems.

- Ensure data solutions address performance, scalability, availability, security, and cost optimization.

- Define and implement data governance, data quality, metadata management, and data lineage strategies.

- Support selection and evaluation of databases, data platforms, ETL/ELT tools, and cloud technologies.

- Review technical designs and provide architectural guidance to development and data engineering teams.

- Drive modernization and migration of legacy data platforms to modern cloud-based architectures.

- Create architecture diagrams, technical specifications, data models, and solution documentation.

- Ensure compliance with enterprise security, privacy, governance, and regulatory requirements.

Required Skills & Experience :

- Strong experience as a Data Architect / Enterprise Data Architect.

- Extensive experience in data architecture and data modeling.

- Strong understanding of relational and NoSQL databases.

- Experience designing data warehouses, data lakes, and lakehouse architectures.

- Strong knowledge of ETL/ELT, data integration, and data pipeline architecture.

- Proficiency in SQL and strong understanding of database design and optimization.

- Experience with one or more cloud platforms: AWS, Azure, or GCP.

- Experience with modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, or Microsoft Fabric.

- Strong understanding of dimensional modeling, star/snowflake schemas, master data, and data lifecycle management.

- Knowledge of data governance, metadata, data quality, security, and lineage.

- Experience designing both batch and real-time/streaming data architectures.

- Strong communication, analytical, problem-solving, and stakeholder-management skills.