About Company Narwal, with its Global Delivery Model, strategically expands its reach across North America, the United Kingdomand an offshore development centre in India. Delivery cutting edge AI, Data and Quality Engineering solutions and consistently surpassing expectations, Narwal has achieved remarkable triple-digit growth rates year after year, earning accolades such as Inc. 5000, Best IT Services Company, Best Data Technology Company, and Partner of the Year with Tricentis.

Our Vision To be an expert in AI, Data and Quality Engineering transformations, bold in our thinking and authentic in our relationships.

Experience :12- 18 years

Skills and Competencies

- Technical Skills: Expertise in data warehousing concepts, database management (SQL/NoSQL), ETL tools (e.g., Informatica, Talend, Azure Data Factory), and cloud platforms (e.g., AWS, Azure, GCP).
- Data Modelling: Strong knowledge of dimensional modelling, star schema, and snowflake schema design.
- Data Governance: Knowledge of data privacy regulations (GDPR, HIPAA) and governance frameworks.
- Communication: Ability to translate complex technical concepts into business-friendly terms.
- Problem-Solving: Robust analytical skills to troubleshoot data and performance issues effectively.

Qualification
- BE/B.Tech. in Computer Science with hands on knowledge of T-SQL, PL/SQL, Azure DW, Azure Data Factory

Key Responsibilities
- Data Architecture Design:
- Design the overall architecture for the enterprise data warehouse, ensuring scalability, performance, and data integrity.
- Define standards and best practices for data modelling, storage, and access patterns.
- Develop logical and physical data models, data flow diagrams, and database design that support business needs.

- ETL Process Development
- Lead the design and development of ETL (Extract, Transform, Load)



processes to integrate data from various sources into the data warehouse.
- Establish ETL workflows that ensure efficient, error-free, and high-performance data extraction and transformation.
- Optimize ETL processes for maximum performance and minimal downtime during data loads.

- Data Integration and Transformation
- Ensure the smooth integration of structured and unstructured data from disparate systems, including on-premises and cloud-based solutions.
- Define data transformation rules to clean, normalize, and enrich data before loading it into the warehouse.
- Oversee the integration of real-time and batch data pipelines for continuous data ingestion.

- Data Quality and Governance
- Establish data quality standards and implement processes to ensure the accuracy, consistency, and reliability of data.
- Collaborate with the data governance team to define and enforce data governance policies across the organization.
- Implement monitoring and validation systems to detect and resolve data anomalies or discrepancies.

- Collaboration with Stakeholders
- Work closely with business analysts, data scientists, and BI developers to understand their data requirements and align the architecture to support these needs.
- Partner with IT teams to ensure seamless integration between data systems and support application development initiatives.

Narwal, with its Global Delivery Model, strategically expands its reach across North America, the United Kingdom, and an offshore development center in India. Delivery cutting edge AI, Data, and Quality Engineering solutions and consistently surpassing expectations. Narwal has achieved remarkable triple-digit growth rates year after year, earning accolades such as Inc. 5000, Best IT Services Company, Best Data Technology Company, and Partner of the Year with Tricentis. Our Vision To be an expert in AI, Data, and Quality Engineering transformations, bold in our thinking and authentic in our relationships.

📌 Enterprise Data Warehouse Architect (India)
🏢 Narwal
📍 India