Job Title : Data Architect

Experience :

- 7+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Management.

Job Summary :

- Design and implement scalable, secure, and high-performance data architecture solutions aligned with business objectives.

- Develop enterprise-wide data models, integration frameworks, and governance standards.

- Collaborate with business stakeholders, engineering teams, and analytics teams to enable reliable and accessible data platforms.

- Drive modernization initiatives involving cloud data platforms, data lakes, warehouses, and real-time data processing.

- Ensure data quality, consistency, security, and compliance across the organization's data ecosystem.

Key Responsibilities (KRAs) :

- Design enterprise data architecture for structured, semi-structured, and unstructured data.

- Develop conceptual, logical, and physical data models for business applications.

- Define and maintain enterprise data standards, policies, and best practices.

- Architect scalable ETL/ELT pipelines for batch and real-time data processing.

- Design and optimize modern data warehouses and data lake architectures.

- Collaborate with business and technology teams to translate requirements into technical solutions.

- Establish data integration strategies across multiple applications and platforms.

- Drive cloud migration and modernization initiatives for data platforms.

- Ensure data quality, lineage, cataloging, and metadata management.

- Define strategies for master data management (MDM) and reference data management.

- Implement data governance frameworks and ensure regulatory compliance.

- Optimize database performance, storage, and query execution.

- Design secure data access models and implement role-based security controls.

- Support AI/ML, analytics, and reporting teams with optimized data architecture.

- Evaluate and recommend new technologies, tools, and architectural patterns.

- Mentor engineering teams on architecture principles and best practices.

- Participate in solution design reviews and enterprise architecture discussions.

Required Technical Skills :

- Strong expertise in Data Architecture principles and best practices.

- Proficiency in SQL and advanced database design techniques.

- Strong programming experience in Python.

- Experience with data modeling methodologies and tools.

- Hands-on experience with ETL/ELT development frameworks.

- Expertise in Data Warehousing concepts and dimensional modeling.

- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

- Knowledge of modern data lake architectures and Lakehouse concepts.

- Experience with Big Data technologies including Spark and Hadoop ecosystem.

- Expertise in Apache Kafka or other streaming technologies.

- Experience with orchestration tools such as Apache Airflow or similar platforms.

- Knowledge of NoSQL databases including MongoDB, Cassandra, or DynamoDB.

- Familiarity with Snowflake, Databricks, Redshift, Synapse, or BigQuery.

- Experience with API-based data integration and microservices architecture.

- Understanding of Data Governance, Data Lineage, and Metadata Management.

- Knowledge of Master Data Management (MDM) frameworks.

- Experience with Data Quality and Data Validation frameworks.

- Familiarity with CI/CD pipelines and DevOps practices.

- Understanding of Infrastructure as Code using Terraform or similar tools.

- Experience with containerization technologies such as Docker and Kubernetes.

- Knowledge of security, encryption, and data privacy regulations.

- Familiarity with Power BI, Tableau, or Looker.

Qualifications :

- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

- Master's degree is preferred.

- Relevant cloud certifications are an added advantage.

- Certifications in Data Architecture or Data Engineering are desirable