411 Microsoft Certified Database Administrator jobs in Bengaluru
Manager Data Management
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Role Description:
We are seeking an experienced Data Management Expert with expertise in Enterprise Data Management (EDM), Master Data Governance, and Data Quality to support the design and implementation of a Comprehensive EDM Framework. The role requires deep expertise in master data management (MDM), data governance, cleansing, enrichment, migration, and process automation across ERP systems like SAP ECC/S4HANA and other enterprise platforms.
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 and identify improvement areas.
- Define master data governance policies and implement data standards for Vendor Master, Customer Master, Material Master, and Pricing Master data.
- Establish and manage data quality frameworks, including profiling, cleansing, enrichment, deduplication, and validation techniques to ensure accuracy.
- Implement metadata management strategies, including metamodels, data catalogs, lineage tracking, and glossaries.
- Develop and maintain data models (conceptual, logical, and physical) for enterprise-wide data consistency.
- Define and monitor KPIs for data quality, ensuring compliance with business and regulatory standards.
- Collaborate with cross-functional teams (IT, finance, procurement, operations) to align data management objectives.
- Lead tool evaluations for data governance, MDM, metadata, and lineage platforms.
- Assist in automating manual data processes and workflows, enhancing operational efficiency and reducing errors.
- 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 (exp of one of the 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/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/consulting experience working with supply chain, procurement, finance, and vendor/customer data management domains is a plus.
Industry
- Preferred industry experience – Banking and Financial Services
Data Management Associate
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JOB DESCRIPTION
Join our team as a Data Lineage Specialist and play a crucial role in ensuring data transparency and compliance. You'll have the opportunity to grow your career while applying your skills in data management and governance. Be part of a dynamic team committed to excellence and innovation, where your contributions will make a significant impact.
As a Data Management Associate - Lineage Specialist at JPMorgan Chase within the Office of the Chief Data Officer (CDO) – SGO, you will track and document data flow across various systems, ensuring data transparency and compliance. You will work closely with data owners to maintain accurate data lineage records and support data governance initiatives. Your role is vital in adhering to firmwide guidelines for Data Risk and Management policies, contributing to the organization's success.
Job Responsibilities:
- Develop and maintain comprehensive data lineage documentation for all data assets.
- Register lineage for applications in the lineage tool.
- Ensure compliance with data governance policies and regulatory requirements.
- Analyze data lineage to identify potential data quality issues.
- Provide insights to enhance data management practices.
- Support data governance initiatives with accurate lineage information.
- Manage the organization's data glossary and dictionary and collaborate with data owners to understand data flow and dependencies.
- Focus on data tiering strategies to optimize data storage and retrieval.
- Conduct training sessions on data lineage concepts and tools.
- Maintain best practices for data controls and work with Risk Control Managers and contribute to the Firmwide working Group for data controls implementation.
Required Qualifications, Capabilities and Skills:
- Bachelor's degree in Computer Science, Information Technology, Data Management, or related field.
- 2+ years of experience in Data Lineage, Data Cataloguing, Data Tiering, Data Quality, or Data Governance.
- Excellent analytical and problem-solving skills.
- Proficiency in manipulating and analyzing large data sets in Excel.
- Familiarity with PowerPoint basics.
- Experience with data lineage governance tools like Collibra or Informatica Data Catalog.
- Excellent written and verbal communication skills.
- Strong interpersonal skills and ability to build relationships.
- Self-starter with strong time management skills.
Preferred Qualifications, Capabilities and Skills:
- Certification in data management or data governance (e.g., CDMP, DGSP).
- Experience with data lineage governance tools is useful.
- Ability to quickly learn and assimilate business and technical knowledge.
- Basic understanding of the company's business practices and familiarity with the company's products and services.
ABOUT US
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Data Management Lead
Posted 3 days ago
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**Job Description**
**Job Overview:**
We are seeking a highly skilled and experienced Data Management Lead with expertise in data management principles, cloud technologies (AWS, Databricks, Informatica, etc.), software engineering practices, and system design and architecture. The ideal candidate will also have leadership experience managing a team of ~10 individuals and driving best practices in data management and engineering.
**Responsibilities:**
+ Lead and manage a data management team of ~10 members, fostering growth and collaboration.
+ Oversee the design, implementation, and maintenance of data infrastructure and pipelines.
+ Ensure adherence to data management principles, including data quality, governance, and security.
+ Utilize cloud platforms like AWS, and tools such as Databricks & Informatica for data processing and storage solutions.
+ Apply software engineering best practices, including DevOps, Infrastructure as Code (IaC), and testing automation, to streamline workflows.
+ Design scalable and robust system architectures aligned with business needs.
+ Collaborate with cross-functional stakeholders to ensure the seamless integration of data systems.
+ Monitor and optimize system performance, reliability, and cost-effectiveness.
**Skills & Qualifications:**
+ Bachelor's or Master's degree in Computer Science, Information Technology, or related fields.
+ 8+ years of experience in data management, with a strong understanding of cloud-based technologies like AWS, Databricks, and Informatica.
+ Expertise in software engineering best practices such as IaC, DevOps pipelines, and comprehensive testing methods.
+ Experience in system design & architecture, including distributed systems and integration patterns.
+ Proven ability to lead and manage a team (~10 people), fostering an inclusive and high-performance culture.
+ Strong problem-solving, communication, and stakeholder management skills.
+ Strong expertise in data integration, data modeling, and modern database technologies (Graph, SQL, No-SQL) and AWS cloud technologies
+ Extensive experience in DBA, schema design & dimensional modeling, and SQL optimization.
+ Excellent written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.
**Preferred Skills:**
+ Certifications in AWS, DevOps, Data Engineering, or related technologies.
+ Familiarity with Agile methodologies and tools.
+ Knowledge of modern data governance frameworks and strategies.
**Locations**
IND - Bengaluru
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Data Management Analyst
Posted 3 days ago
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Wells Fargo is seeking a Data Management Analyst.
**In this role, you will:**
+ Participate in less complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
+ Adhere to data governance standards and procedures
+ Identify data quality metrics and execute data quality audits to benchmark the state of data quality
+ Design and monitor data governance, data quality and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for companywide data management functions
+ Support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates
+ Support issue remediation by performing medium risk data profiling, data or business analysis, and data mapping as part of root cause or impact analysis
+ Provide support to regulatory analysis and reporting requirements
+ Recommend plans for the development and implementation of initiatives that assess the quality of new data sources
+ Work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls
+ Consult with clients to assess the current state of data quality within area of assigned responsibility
**Required Qualifications:**
+ 2+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
**Desired Qualifications:**
+ Develop and lead programs, initiatives for Master Data, Reference Data, data quality, Data governance, and Data Lineage and metadata related activities
+ Design and conduct complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
+ Understanding of loan life cycle such as loan origination, underwriting, portfolio management, collateral management, loan accounting services.
+ Adhere to data governance Policy, standards and procedures
+ Analyze, assess, and test data controls and data systems to ensure quality and risk compliance standards are met.
+ Develop recommendations for optimal approaches to resolve data related issues
+ Develop and implement plans for assessing the quality of new data sources
+ Drive planning and coordination on low to medium sized remediation efforts, acting as central point of contact
+ Leverage domain expertise and data, business, or process analysis to identify, inform, discuss support and deliver solution design
+ Consult with clients to assess the current state of data and metadata within area of assigned responsibility
+ Participate in cross-functional groups to develop companywide data governance strategies
+ Provide input into communication routines with stakeholders, business partners, and experienced leaders
+ Demonstrated risk management/mitigation in the management and delivery of data (identify, communicate, mitigate, and escalate risk originating from non-compliance of processes, operational errors, and data integrity issues in all applicable processes. Mitigate data risk for the company by identifying data issues and effective remediation.
+ Lead project teams and mentor less experienced staff members
+ Possesses executive presence, high energy, ability to manage complexity and a broad scope of daily work activities and stakeholders.
**Job Expectations:**
+ Data Analyst with expertise in all or majority of aspects/activities like Master Data, Reference Data, Data Quality, Data Governance, Data Lineage and/or Metadata related activities.
+ 5+ years of Data Management, Business Analysis, Analytics, Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
+ Certification and expertise in all or some tools like - SQL, Alteryx, Power BI, Advanced Excel, or related data tools. Strong proficiency in SQL for extraction, analysis and data manipulation is a must.
+ Knowledge of industry best practices for data management
+ Outstanding problem solving and analytical skills with ability to turn findings into strategic initiatives
**Posting End Date:**
24 Oct 2025
**_*Job posting may come down early due to volume of applicants._**
**We Value Equal Opportunity**
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
**Applicants with Disabilities**
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo ( .
**Drug and Alcohol Policy**
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy ( to learn more.
**Wells Fargo Recruitment and Hiring Requirements:**
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
**Req Number:** R-
Data Management Specialist
Posted 2 days ago
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Key Responsibilities:
• Identify and count the number of unique products within datasets.
• Apply accurate and relevant tags to each product based on predefined criteria.
• Categorize products into specific groups according to structured guidelines.
• Identify and label all US-based brands in the dataset.
• Ensure consistency and accuracy in data tagging and categorization.
• Work with structured data sources such as spreadsheets, databases.
• Collaborate with team members to refine categorization criteria and improve data quality.
• Conduct quality checks and resolve discrepancies in product classification.
Test Data Management
Posted 2 days ago
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Hello, Good Day !
Minimum 6 Yrs Hands-on with the Subject.
Currently, looking for an Individual, possessing the following Skill-Set w.r.t to Employment.
Kindly reach-out to me if you inherit these tools.
Sharing the required profile for your reference.
JD Requirement : -
- Test Data management experience on tools like Informatica, Delphix etc.
- Good understanding of Data Masking / Scrubbing / Obfuscation techniques .
- CA TDM and Broadcom TDM (Informatica , Data masking, integration)
- Ability to write queries / Macros / scripts using tools like SQL, VB, QTP, Selenium and XML .
- Good understanding of various DataBase technologies (DB2, Teradata, Oracle 10g/11g, SQL server, Big data/Hadoop).
- Automate test data refresh and creation processes.
- Automation experience using Selenium, Excel Macros or similar tools -Proficient in MS Word, Excel, Outlook and PowerPoint.
Good-to-Have : -
- Excellent analytical and problem-solving skills.
- Strong interpersonal skills, team player and extremely resourceful.
- Proven ability to complete projects according to outlined scope and timeline.
- Very good written and oral communication skills.
Master Data Management
Posted 2 days ago
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KPMG India is a leading professional services firm offering Audit, Tax, and Advisory solutions. Established in 1993, it operates as part of the global KPMG network, which spans over 140 countries. With a strong presence across major Indian cities, KPMG India is known for its deep industry expertise, commitment to quality, and focus on innovation and sustainability.
- Design, implement, and maintain MDM and RDM solutions aligned with business needs.
- Define and execute data governance and data quality strategies.
- Configure and manage match-merge rules, survivorship logic, and cross-reference mappings to ensure creation of golden records.
- Collaborate with business and IT stakeholders to define MDM operating models and implementation styles (registry, consolidation, coexistence, centralized).
- Develop and maintain data models, metadata, and data lineage documentation.
- Support data integration, cleansing, and migration activities.
- Monitor and improve data quality metrics and reporting.
- Provide training and support to data stewards and business users.
- Stay updated with industry trends and best practices in MDM and data governance.
ii. Education or Certifications:
- Bachelor's / Master's degree in engineering/technology/other related degrees.
- Relevant certifications from Collibra/Informatica/Talend/Ataccama and/or other leading platforms is a must
- Relevant certifications from DAMA, EDM Council and CMMI-DMM will be a bonus
iii. Work Experience:
- Minimum 4-6 years of hands-on experience in Master Data Management and Reference Data Management.
- Proven experience implementing MDM solutions using Informatica, Talend, or Ataccama.
- Strong understanding of match & merge, survivorship, cross-reference, and source system ranking.
- Experience working with data governance frameworks, data stewardship models and data quality tools.
- Familiarity with MDM Modernization will be a advantage
- Exposure to cloud-native MDM deployments and integration with enterprise systems is desirable.
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Director Data Management
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Senior Data Engineering Manager /
Director (Onboarding & Data Migration)
Location Bengaluru. CTC Above 60 LPA. Face to Face interview. Immediate Joiner preferred.
Work from office.
Role Summary: The Senior Data Engineering Manager / Director will own the end-to-end data onboarding function within the SaaS platform for the self-storage industry. This leader is responsible for building and scaling the data engineering and migration frameworks that enable properties to move seamlessly from legacy PMS systems into Hummingbird. They will combine deep technical expertise, team leadership, and domain understanding of self-storage operations to ensure every migration is accurate, reliable, and customer-friendly. This role is both strategic (defining onboarding as a core platform capability) and operational (ensuring execution at scale across hundreds of properties). Key Responsibilities � � Data Onboarding Leadership ● Own the data migration pipeline from PMS → Hummingbird (extract, transform, validate, load). ● Define and enforce data quality, validation, and reconciliation standards (balances, leases, gate codes, autopay). ● Partner with Customer-facing onboarding teams, Product, Engineering and Sales teams to design repeatable onboarding playbooks for PMS migrations. ● Ensure migrations minimize operator disruption and preserve business continuity. � � Team Building & Management ● Lead and grow a team of Data Engineers, Migration Specialists, and QA Analysts. ● Build a culture of operational excellence, accountability, and customer empathy. ● Mentor senior engineers into tech leads and empower customer-facing onboarding staff with tools and automation. � � Technical Strategy & Execution ● Work closely with a Data Architect and own the data onboarding platform, including ETL/ELT frameworks, schema mapping templates, and automation. ● Drive automation-first approaches (reduce custom work per migration by building reusable tools for SiteLink, storEDGE, SSM, etc.). ● Establish monitoring, error handling, auditability, and rollback capabilities for safe cutovers. ● Collaborate with Infra/SRE teams to ensure migrations run securely and efficiently on AWS (RDS, Kinesis, Redis). � � Cross-Functional Partnership ● Work with Product to evolve Hummingbird's data model to accommodate complex onboarding scenarios. ● Align with Product, Customer Success & Sales to scope migrations and set realistic expectations for customers. ● Partner with Compliance on data security, privacy, and regulatory obligations (PCI, SOC 2, GDPR). Required Skills & Experience ● Technical Expertise ○ 10+ years in data engineering with 5+ in leadership roles, managing teams building Data pipelines using a combination of ETL tools and public cloud platform(s). ○ Deep knowledge of ETL/ELT, data modeling, and migration frameworks. ○ Proficiency with SQL, , and data pipeline tools (Airflow, dbt, Spark). ○ Hands-on experience with cloud-native data platforms (AWS RDS, Redshift/Snowflake, Kafka/Kinesis). ○ Experience in SaaS multi-tenant architectures and onboarding processes. ● Domain Knowledge (preferred) ○ Familiarity with Property Management Systems (PMS) or Proptech systems and data models used in real estate (leases, billing cycles, unit statuses, auctions). ● Leadership & Business Acumen ○ Proven ability to scale teams and manage delivery under time-critical conditions. ○ Strong communication skills with executives, engineers, and customer-facing teams. ○ Track record of transforming onboarding from a manual process into a repeatable productized capability KPIs / Success Metrics ● Onboarding efficiency: Time to migrate a property portfolio reduced by X%. ● Data quality: Error rates in post-migration audits (e.g., tenant balances, leases). ● Scalability: Number of properties migrated per quarter without proportional headcount increase. ● Customer satisfaction: Post-migration CSAT / NPS from operators. ● Operational impact: Reduction in support escalations related to onboardin
This leader ensures that data onboarding is not a bottleneck but a competitive advantage. By building a scalable, automated, and customer-centric onboarding engine, they enable our client to grow faster, onboard more operators with confidence, and reinforce Hummingbird as the most trusted self-storage PMS in the industry.
This profile positions the role as both a technical leader and a business enabler, with onboarding treated as a core product capability instead of a one-off service.
Employee data management
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Min 3yrs of Exp required in HRO Domain
(hire to retire, leave of absence, Employee data management)
Bangalore
US Shifts
Graduates
Salary goes upto 15lpa depends on last drawn salary (30% hike)
Contact :
Required Candidate profile
Need good knowledge of Employee life cycle, hire to retire, leave of absence, Employee data management.
Need Immediate Joiners
Need Excellent Communications skills
Product data management
Posted today
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• Minimum 2 - 6 years' work experience in product data management activities
• Basic understanding of Automobile vehicles
• Experience working in a process-orientated workflow environment.
• Engineering Degree in the areas of Automobile