Job Summary

We are looking for an experienced Data Architect to design, develop, and maintain scalable, secure, and efficient data architectures. The ideal candidate will have strong expertise in data modeling, database design, cloud data platforms, data integration, and data governance. The candidate will work closely with business stakeholders, data engineers, analysts, and technology teams to develop data solutions that support business objectives.

Key Responsibilities

• Design and implement enterprise data architectures aligned with business and technical requirements.
• Develop conceptual, logical, and physical data models.
• Define data standards, architecture principles, and best practices.
• Design data warehouses, data lakes, and lakehouse architectures.
• Evaluate and select appropriate database technologies and data platforms.
• Develop data integration strategies for batch and real-time data processing.
• Design scalable data pipelines and data storage solutions.
• Establish data governance, data quality, metadata management, and master data management practices.
• Ensure data security, privacy, compliance, and access control across platforms.
• Optimize database performance, scalability, availability, and cost efficiency.
• Collaborate with data engineers, software architects, business analysts, and stakeholders.
• Provide technical leadership and guidance to development teams.
• Assess emerging technologies and recommend improvements to existing data architectures.
• Maintain architecture documentation, data flow diagrams, and technical specifications.

Required Skills

• Strong experience in data architecture and enterprise data modeling.
• Proficiency in SQL and relational database management systems.
• Experience with databases such as PostgreSQL, Oracle, SQL Server, or MySQL.
• Knowledge of data warehousing and dimensional modeling concepts, including Star and Snowflake schemas.
• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of cloud data warehouses such as Snowflake, Amazon Redshift, Google BigQuery, or Azure Synapse Analytics.
• Understanding of ETL/ELT processes and data integration tools.
• Experience with big data technologies such as Apache Spark, Hadoop, or Kafka.
• Knowledge of data governance, data lineage, metadata management, and data quality frameworks.
• Understanding of data security, privacy, and regulatory compliance requirements.
• Strong analytical, problem-solving, communication, and stakeholder management skills.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
• Experience designing enterprise-scale data platforms and cloud-native architectures.
• Familiarity with Databricks, Delta Lake, and lakehouse architectures.
• Knowledge of data modeling tools such as ERwin or SAP PowerDesigner.
• Experience with data governance platforms and metadata catalog tools.
• Understanding of microservices architecture and API-based data integration.
• Relevant cloud architecture or data platform certifications.
• Experience leading technical teams and working in Agile environments.

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