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Senior Manager - Data Management
Recruitment ConsultantMumbai30+ days ago
Job descriptionDesign 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. 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. 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. 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. 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. Act as a liaison between technical teams and business stakeholders to communicate data architecture and capabilities. Continuously monitor data warehouse performance and implement strategies to optimize query performance, ETL jobs, and system scalability. Proactively identify bottlenecks in ETL processes or data warehouse queries and resolve them to improve overall efficiency. Ensure data security and privacy by implementing robust access control mechanisms, encryption, and auditing procedures in compliance with regulatory requirements. Define and enforce security policies that restrict unauthorized access to sensitive data. Maintain comprehensive documentation of the data warehouse architecture, ETL processes, and data integration workflows. Establish coding standards, naming conventions, and documentation best practices to ensure consistency and maintainability.
Job Description :
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 : Strong analytical skills to troubleshoot data and performance issues effectively.
Key Responsibilities :
1. Data Architecture Design :
2. ETL Process Development :
3. Data Integration and Transformation :
4. Data Quality and Governance :
5. Collaboration with Stakeholders :
6. Performance Tuning and Optimization :
7. Security and Compliance :
8. Documentation and Standards :
(ref : hirist.tech)
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Manager Data Management • Mumbai
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