Description

Job Description:-

Key Responsibilities

• Design and implement enterprise-wide data architecture solutions.
• Develop conceptual, logical, and physical data models.
• Create scalable data warehouse, data lake, and lakehouse architectures.
• Define data integration strategies using ETL/ELT pipelines.
• Establish data governance, data quality, metadata, and master data management (MDM) standards.
• Optimize database performance, storage, and data processing.
• Collaborate with business teams to understand data requirements and translate them into technical solutions.
• Ensure compliance with data security, privacy, and regulatory requirements.
• Support cloud migration and modernization initiatives.
• Mentor data engineers and database developers on architecture best practices.
• Evaluate new data technologies and recommend improvements.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 8+ years of experience in data engineering, database administration, or data architecture.
• Strong experience in enterprise data modeling and database design.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Expertise in SQL and relational databases.
• Experience designing data warehouses and data lakes.
• Knowledge of ETL/ELT frameworks and data integration tools.
• Strong analytical, problem-solving, and communication skills.

Required Technical Skills

• SQL
• Data Modeling (Conceptual, Logical, Physical)
• Data Warehouse Design
• Data Lake/Lakehouse Architecture
• ETL/ELT Development
• Database Design & Performance Tuning
• Data Governance
• Metadata Management
• Master Data Management (MDM)
• Data Quality Frameworks
• API Integration
• Python or Java

Key Skills

Education

Any Graduate