3,642 Database Manager jobs in India

The Offer

• Work alongside & learn from best in class talent
• Flexible working options
• Opportunity to make a positive impact

The Job

Key Responsibilities:

• Design, implement, and maintain database systems to meet organizational needs.
• Ensure data security, integrity, and availability.
• Monitor database performance and implement improvements.
• Develop and enforce database standards and procedures.
• Collaborate with IT and content teams to support data requirements.
• Perform regular backups and recovery testing.
• Stay updated with emerging database technologies and best practices.

Benefits:

• Fully remote position with flexible working hours.
• Competitive monthly salary based on experience.
• Opportunity to contribute to a growing digital media brand.
• Supportive and collaborative team culture.

The Profile

Qualifications:

• Proven experience as a Database Manager or similar role.
• Proficiency in database languages such as SQL.
• Familiarity with database design, documentation, and coding.
• Strong analytical and organizational skills.
• Excellent problem-solving abilities.
• Bachelor's degree in Computer Science or related field.

Bonus Points:

• Experience with cloud-based database solutions.
• Knowledge of data warehousing and ETL processes.
• Interest in food, grilling, or the carnivore lifestyle.

The Employer

At our client, you'll find meat delivery probes, smoker reviews, cooking tips, and expert interviews from our team of meat connoisseurs.

Key Responsibilities:

• Develop and implement EDM frameworks based on DAMA, CMMI, DCAM, and industry best practices.
• Conduct data maturity assessments to evaluate the current state of client data landscapes and identify key areas for improvement.
• Define master data governance policies and implement robust data standards for critical domains such as Vendor Master, Customer Master, Material Master, and Pricing Master data.
• Establish and manage comprehensive data quality frameworks, including profiling, cleansing, enrichment, deduplication, and validation techniques to ensure data accuracy and reliability.
• Implement metadata management strategies, encompassing metamodels, data catalogs, lineage tracking, and glossaries.
• Develop and maintain data models (conceptual, logical, and physical) to ensure enterprise-wide data consistency and integrity.
• Define and monitor Key Performance Indicators (KPIs) for data quality, ensuring continuous compliance with business and regulatory standards.
• Collaborate effectively with cross-functional teams (e.g., IT, finance, procurement, operations) to align data management objectives with broader organizational goals.
• Lead tool evaluations for data governance, MDM, metadata, and lineage platforms, with a preference for experience in Collibra.
• Assist in automating manual data processes and workflows, significantly enhancing operational efficiency and reducing errors.
• Possess experience in setting up and operationalization of a centralized Data Management Office (DMO).

Key Tools & Technologies:

• ERP: SAP ECC/S4HANA
• Data Governance, Metadata & Quality Tools: Informatica, Talend, Alation, MS Purview, Collibra, Axon, etc. (Experience with one of these tools is required, Collibra preferred).
• BI & Analytics: Power BI, Snowflake, Azure, Hive (not mandatory).
• Data Integration & ETL: APIs, middleware, data lakes, ETL tools (preferred).

Preferred Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or a related field.
• Certifications: Certified Data Management Professional (CDMP), SAP MDG certification, Lean Six Sigma (preferred).

Experience:

• 5 to 12 years in enterprise data management, data governance, and MDM.
• Industry or consulting experience working with supply chain, procurement, finance, and vendor/customer data management domains is a plus.

The incumbent will be responsible for:

1. Conducting secondary and primary research on various platforms and resources, including but not limited to search engines (Google, Yahoo), and tools like Zauba Corp, Bloomberg, LinkedIn, ZoomInfo, Lusha, Hunter , etc., to identify potential contacts for the company.
2. Providing all gathered information in the desired format to the sales team.
3. Meeting assigned productivity metrics for the job.

Job Title : Database Engineering Manager

As a Database Engineering Manager, you will be supporting our banking client’s Analytics platforms. You will be responsible for managing a centralized team of database engineers for the maintenance and support of the client’s most critical databases.

A Database Engineering Manager Responsibilities:

• Define database strategy, architecture, and technology choices; Ensure scalable, resilient, and high-performance data systems supporting mission-critical applications.
• Ability to design and implement a highly performing database using partitioning & indexing that meet or exceed the business requirements.
• Ownership of the complete deliverables from inception to delivery from the client's Global Capability Center (GCC).
• Solves complex problems by taking a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
• Expertise with database practices and procedures such as DDL, DML and DCL.
• Understanding and developing data relationships, schemas and Entity-Relationship Diagrams.
• Understanding of cloud computing; cloud security concepts, including data protection, access control, and compliance.
• Review data structures to ensure they adhere to database design best practices.
• Understanding the different cloud models (IaaS, PaaS, SaaS), service models, and deployment options (public, private, hybrid).
• Troubleshoot database issues, such as integrity issues, blocking/deadlocking issues, log shipping issues, connectivity issues, security issues, memory issues, disk space, etc.
• Identifies, assesses, and treats risks that might affect the confidentiality, integrity, and availability of the organization's assets.
• Documents a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow.
• Performs effective backup management and periodic databases restoration testing.
• General DB Cloud networking skills – VPCs, SGs, KMS keys, private links.
• Knowledge of firewalls, antivirus, encryption software, access control systems, audit logs, backup software, and recovery software.
• Ability to develop stored procedures and at least one scripting language for reusable code and improved performance. Know how to import and export data into and out of databases using ETL tools, code, migration tools like DMS or scripts
• Knowledge of DevOps principles and tools, such as CI/CD.
• Ability to optimize queries for performance and resource efficiency
• Review database metrics to identify performance issues.
• Ability to design, document and implement highly available resilient database architectures for multiple DB platforms including NoSQL.
• Knowledge of full-text indexing & composite indexes.
• Implement strategies like failover, load balancing, and disaster recovery solutions.

Required Qualifications

• 5+ years of experience with managing database and cross-functional teams
• 12+ years of experience maintaining and supporting large-scale critical database systems in the cloud.
• 12+ years of experience with database management/administration, Redshift, Snowflake or Neo4J
• 8+ years of experience working with incident, change and problem management processes and procedures.
• 3+ years of experience working with AWS cloud hosted databases
• An understanding of multiple programming languages, including at least one front end framework (Angular/React/Vue), such as Python3, Java, JavaScript, Ruby, Golang, C, C++, etc.
• Experience with cloud computing, ETL and streaming technologies – OpenShift, DataStage, Kafka
• Understanding of Application Integrations –PaaS/Middleware.
• Experience with agile development methodology
• Strong SQL performance & tuning skills
• Excellent communication and client interfacing skills

Desired Qualifications

• Experience working in an agile development environment
• Experience working in the banking industry
• Experience working in cloud environments such as AWS, Azure or Google
• Experience with CI/CD pipeline (Jenkins, Liquibase or equivalent)

Education and Certifications

• Bachelor’s degree in computer science or related discipline

Job title: Data Engineering Manager

Department: Saisystems Health Engineering & Product

Location – Pune (Work from Office): Sprint Workspace Wakadewadi. Old Mumbai - Pune Hwy, Narveer Tanaji Wadi, Shivajinagar, Pune, Maharashtra 411005 (no remote/hybrid work)

Job overview:

We are seeking a highly experienced and strategic Data Engineering Manager to lead our data development and analytics initiatives. This role will be responsible for architecting and optimizing data solutions across relational and non-relational databases, managing a cross-functional data team, and implementing scalable BI and reporting frameworks. The ideal candidate will bring deep technical expertise, strong leadership capabilities, and a passion for turning data into business value.

Responsibilities & Duties:

• Lead the development, implementation, and optimization of relational and non-relational databases to support business and application needs.
• Manage and mentor a team of database developers, data engineers, and BI professionals.
• Design and implement scalable data models, ETL pipelines, and enterprise-level reporting systems.
• Collaborate with cross-functional stakeholders to understand business requirements and deliver actionable insights.
• Administer database performance tuning, backup strategies, and implement security protocols.
• Define and enforce standards for data governance, data quality, and security.
• Implement and manage Business Intelligence tools such as Power BI, Tableau, or similar platforms.
• Translate complex business needs into technical reporting solutions, dashboards, and data visualizations.
• Stay abreast of the latest trends in data engineering, cloud databases, and analytics technologies to drive innovation.

Required Qualifications:

Experience : Minimum 10 years of experience in database development and data management. At least 3 years in a team leadership or managerial role, overseeing data or BI teams.

Technical Skills :

• Strong command of SQL, stored procedures, indexing strategies, and performance optimization techniques.
• Hands-on experience with Business Intelligence tools (e.g., Power BI, Tableau, QlikView, Looker).
• Proficient in ETL tools and data integration platforms such as SSRS, SSIS, and Azure Data Lake.
• Experience designing and maintaining data warehouse solutions and dimensional modeling.
• Experience working with Azure cloud services for data management and analytics.
• Familiar with best practices in database security, backup, and disaster recovery.

Preferred Qualifications:

• Experience with DevOps practices for data projects, including CI/CD pipelines and version control.
• Certifications in BI platforms or cloud database technologies (e.g., Azure Data Engineer, Tableau Certified).

Key Performance Indicators:

• Delivery of scalable, secure, and high-performance data solutions aligned with business needs.
• High adoption and usability of dashboards, reports, and analytics solutions.
• Consistent performance tuning improvements across all data services.
• Effective data governance practices resulting in high data quality and reliability.
• Team performance and growth through effective leadership and mentoring.

Competencies:

• Strong analytical and problem-solving skills with a strategic mindset.
• Proven ability to plan, execute, and lead large-scale data initiatives.
• Effective leadership and mentoring capabilities for guiding cross-functional teams.
• Business acumen to understand and prioritize organizational needs through data.
• Excellent verbal and written communication skills for working with both technical and non-technical stakeholders.

Other Requirements:

• Passion for innovation and applying modern data tools and practices.
• Strong focus on building new data solutions rather than legacy system maintenance.

This role offers the opportunity to lead impactful and forward-thinking data initiatives, working with modern cloud technologies and advanced BI tools in a dynamic and collaborative environment. You’ll play a key role in shaping our data strategy, building scalable analytics solutions, and driving innovation that directly supports critical business decisions and growth.

Job Title: Database Engineering Manager

As a Database Engineering Manager, you will be supporting our banking client’s Analytics platforms. You will be responsible for managing a centralized team of database engineers for the maintenance and support of the client’s most critical databases.

A Database Engineering Manager Responsibilities:

• Define database strategy, architecture, and technology choices; Ensure scalable, resilient, and high-performance data systems supporting mission-critical applications.
• Ability to design and implement a highly performing database using partitioning & indexing that meet or exceed the business requirements.
• Ownership of the complete deliverables from inception to delivery from the client's Global Capability Center (GCC).
• Solves complex problems by taking a new perspective on existing solutions; exercises judgment based on the analysis of multiple sources of information
• Expertise with database practices and procedures such as DDL, DML and DCL.
• Understanding and developing data relationships, schemas and Entity-Relationship Diagrams.
• Understanding of cloud computing; cloud security concepts, including data protection, access control, and compliance.
• Review data structures to ensure they adhere to database design best practices.
• Understanding the different cloud models (IaaS, PaaS, SaaS), service models, and deployment options (public, private, hybrid).
• Troubleshoot database issues, such as integrity issues, blocking/deadlocking issues, log shipping issues, connectivity issues, security issues, memory issues, disk space, etc.
• Identifies, assesses, and treats risks that might affect the confidentiality, integrity, and availability of the organization's assets.
• Documents a complex software system design as an easily understood diagram, using text and symbols to represent the way data needs to flow.
• Performs effective backup management and periodic databases restoration testing.
• General DB Cloud networking skills – VPCs, SGs, KMS keys, private links.
• Knowledge of firewalls, antivirus, encryption software, access control systems, audit logs, backup software, and recovery software.
• Ability to develop stored procedures and at least one scripting language for reusable code and improved performance. Know how to import and export data into and out of databases using ETL tools, code, migration tools like DMS or scripts
• Knowledge of DevOps principles and tools, such as CI/CD.
• Ability to optimize queries for performance and resource efficiency
• Review database metrics to identify performance issues.
• Ability to design, document and implement highly available resilient database architectures for multiple DB platforms including NoSQL.
• Knowledge of full-text indexing & composite indexes.
• Implement strategies like failover, load balancing, and disaster recovery solutions.

Required Qualifications

• 5+ years of experience with managing database and cross-functional teams
• 12+ years of experience maintaining and supporting large-scale critical database systems in the cloud.
• 12+ years of experience with database management/administration, Redshift, Snowflake or Neo4J
• 8+ years of experience working with incident, change and problem management processes and procedures.
• 3+ years of experience working with AWS cloud hosted databases
• An understanding of multiple programming languages, including at least one front end framework (Angular/React/Vue), such as Python3, Java, JavaScript, Ruby, Golang, C, C++, etc.
• Experience with cloud computing, ETL and streaming technologies – OpenShift, DataStage, Kafka
• Understanding of Application Integrations –PaaS/Middleware.
• Experience with agile development methodology
• Strong SQL performance & tuning skills
• Excellent communication and client interfacing skills

Desired Qualifications

• Experience working in an agile development environment
• Experience working in the banking industry
• Experience working in cloud environments such as AWS, Azure or Google
• Experience with CI/CD pipeline (Jenkins, Liquibase or equivalent)

Education and Certifications

• Bachelor’s degree in computer science or related discipline

Job title: Data Engineering Manager

Department: Saisystems Health Engineering & Product

Location – Pune (Work from Office): Sprint Workspace Wakadewadi. Old Mumbai - Pune Hwy, Narveer Tanaji Wadi, Shivajinagar, Pune, Maharashtra 411005 (no remote/hybrid work)

Job overview:

We are seeking a highly experienced and strategic Data Engineering Manager to lead our data development and analytics initiatives. This role will be responsible for architecting and optimizing data solutions across relational and non-relational databases, managing a cross-functional data team, and implementing scalable BI and reporting frameworks. The ideal candidate will bring deep technical expertise, strong leadership capabilities, and a passion for turning data into business value.

Responsibilities & Duties:

• Lead the development, implementation, and optimization of relational and non-relational databases to support business and application needs.
• Manage and mentor a team of database developers, data engineers, and BI professionals.
• Design and implement scalable data models, ETL pipelines, and enterprise-level reporting systems.
• Collaborate with cross-functional stakeholders to understand business requirements and deliver actionable insights.
• Administer database performance tuning, backup strategies, and implement security protocols.
• Define and enforce standards for data governance, data quality, and security.
• Implement and manage Business Intelligence tools such as Power BI, Tableau, or similar platforms.
• Translate complex business needs into technical reporting solutions, dashboards, and data visualizations.
• Stay abreast of the latest trends in data engineering, cloud databases, and analytics technologies to drive innovation.

Required Qualifications:

Experience: Minimum 10 years of experience in database development and data management. At least 3 years in a team leadership or managerial role, overseeing data or BI teams.

Technical Skills:

• Strong command of SQL, stored procedures, indexing strategies, and performance optimization techniques.
• Hands-on experience with Business Intelligence tools (e.g., Power BI, Tableau, QlikView, Looker).
• Proficient in ETL tools and data integration platforms such as SSRS, SSIS, and Azure Data Lake.
• Experience designing and maintaining data warehouse solutions and dimensional modeling.
• Experience working with Azure cloud services for data management and analytics.
• Familiar with best practices in database security, backup, and disaster recovery.

Preferred Qualifications:

• Experience with DevOps practices for data projects, including CI/CD pipelines and version control.
• Certifications in BI platforms or cloud database technologies (e.g., Azure Data Engineer, Tableau Certified).

Key Performance Indicators:

• Delivery of scalable, secure, and high-performance data solutions aligned with business needs.
• High adoption and usability of dashboards, reports, and analytics solutions.
• Consistent performance tuning improvements across all data services.
• Effective data governance practices resulting in high data quality and reliability.
• Team performance and growth through effective leadership and mentoring.

Competencies:

• Strong analytical and problem-solving skills with a strategic mindset.
• Proven ability to plan, execute, and lead large-scale data initiatives.
• Effective leadership and mentoring capabilities for guiding cross-functional teams.
• Business acumen to understand and prioritize organizational needs through data.
• Excellent verbal and written communication skills for working with both technical and non-technical stakeholders.

Other Requirements:

• Passion for innovation and applying modern data tools and practices.
• Strong focus on building new data solutions rather than legacy system maintenance.

This role offers the opportunity to lead impactful and forward-thinking data initiatives, working with modern cloud technologies and advanced BI tools in a dynamic and collaborative environment. You’ll play a key role in shaping our data strategy, building scalable analytics solutions, and driving innovation that directly supports critical business decisions and growth.