866 Collibra Jobs - Page 7

As the Chief Data Office (CDO) - Global Technology Solutions at State Street, you have a significant responsibility to deliver a robust Data Governance Platform throughout the firm. This includes monitoring and reporting on the adoption of data governance policies and regulatory requirements within the platform. The CDO is actively implementing various initiatives and operational model changes to drive these efforts and create value for both internal and external clients. In this role, you will be expected to provide expert leadership in the development of the data governance platform. This will involve working on the buildout of platforms such as Collibra Data Intelligence Catalog, Data Quality, Data Privacy, and Data Entitlement implementations. Collaboration with other IT functions like Cyber Security, Enterprise Architecture, Network Infrastructure, and Platforms will be essential to design and deliver cohesive and efficient solution delivery. Furthermore, you will engage with technology partners like Collibra to comprehend product architectures, integration requirements, and design implementation approaches tailored to State Street's needs. Managing delivery roadmaps, risks, and dependencies, as well as tracking progress to achieve objectives and milestones, will be key responsibilities. Effective communication with the CDO leadership, providing updates, insights, and thought leadership, is vital for success in this role. Talent management and retention will also be a focal point, as you will be expected to coach, mentor, and guide team members to foster an engaged and growth-oriented team, encompassing third-party resources and consultants. This position offers a thrilling opportunity to lead a cutting-edge data technology team within the rapidly growing CDO function. The core skills required for this role include extensive experience in solution design and delivery on Data Governance platforms like Collibra, Information Governance Catalog, Data Quality tools, and data Privacy and Classification tools. Demonstrated expertise in leading and delivering data health measurement and reporting solutions using cloud-based data engineering solutions, Tableau/PowerBI, and following agile methodologies in global operating environments is essential. Moreover, a clear understanding of dependencies and support requirements from various IT functions, excellent communication and articulation skills, proven Stakeholder Management, strong executive presence, and a sound comprehension of Finance and Investment Management Industry are crucial for success in this role. Additionally, familiarity with regulatory compliance standards such as BCBS239 and ICCR is advantageous. The work schedule for this position is hybrid. The role is crucial to State Street as the technology function, Global Technology Services (GTS), plays a vital role in enabling the business to provide data and insights to clients. By driving the company's digital transformation and expanding business capabilities using advanced technologies, the team contributes significantly to the organization's success. State Street offers a collaborative environment where technology skills and innovation are highly valued. The company is seeking top technical talent to join the team and deliver innovative technology solutions that support the vision of becoming an end-to-end, next-generation financial services company. If you are looking to enhance your technical skills, address real challenges, and make a significant impact on the industry, this is the opportunity for you. State Street is committed to creating a positive work environment, offering competitive benefits packages, flexible Work Programs, and various development programs to support employees in reaching their full potential. State Street is an equal opportunity and affirmative action employer.,

The Data Governance Office (DGO) at London Stock Exchange Group (LSEG) is an essential enterprise function with the objective of setting and enabling businesses and internal functions to meet minimum standards for data governance and data resilience. The primary goal is to ensure that LSEG produces trusted data for its products and services, both externally and internally. As a Metadata Specialist at the Data Governance Office (DGO), you will play a key role in managing and enhancing metadata quality, ensuring compliance with data governance standards, and supporting the implementation of data governance tools like Collibra and Solidatus. Collaboration with various departments will be crucial to ensure effective data governance practices and continuous improvement of metadata management. Key Responsibilities: - Metadata Management: Oversee the management and quality assurance of metadata to ensure accuracy, consistency, and up-to-date information. - Tooling Support: Provide support for data governance tools such as Collibra and Solidatus, including managing change initiatives and ensuring effective integration with other systems. - Training and Support: Develop and deliver training programs for users of data governance tools, offering ongoing support to ensure proper use and adoption. - Operational Efficiency: Monitor and maintain data governance tools, handle network issues, manage access controls, and ensure metadata quality assurance. - Collaboration and Coordination: Work closely with the DGO and other departments to align data governance practices and standards. - Strategic Initiatives: Contribute to enhancing metadata quality assurance, expanding validation rule-sets, and integrating new features. - Business Analysis: Analyze end-user and stakeholder requests related to data governance tooling and define functional solutions. - Agile Practices: Participate in Agile-based planning and prioritization of deliverables, maintaining transparency through JIRA tickets. Skills & Experience: - Technical Expertise: Proficiency with data governance tools like Collibra, Solidatus, and Power BI, along with an understanding of business process design. - Analytical Skills: Strong problem-solving and analytical skills with attention to detail. - Communication: Excellent written and verbal communication skills to engage and influence stakeholders at various levels. - Collaboration: Ability to work independently and collaboratively in a cross-functional environment. - Agile Methodologies: Experience with Agile practices and the software development lifecycle. Joining LSEG means being part of a leading global financial markets infrastructure and data provider dedicated to driving financial stability, empowering economies, and enabling sustainable growth. Our culture is built on values of Integrity, Partnership, Excellence, and Change, guiding our decision-making and actions every day. At LSEG, you will be part of a diverse workforce across 65 countries where your individuality is valued, enabling you to contribute your unique skills and perspectives. We foster a collaborative and creative culture, encouraging new ideas and a commitment to sustainability in our global business operations. Together, we aim to re-engineer the financial ecosystem to support sustainable economic growth by accelerating the just transition to net zero, fostering the growth of the green economy, and creating inclusive economic opportunities. LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives. If you are submitting as a Recruitment Agency Partner, it is essential to ensure that candidates applying to LSEG are aware of the privacy notice regarding personal information held by LSEG.,

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Technical Architect/Senior Technical Architect Exp : 9 -20 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Notice Period : Immediate - 20 days Role Overview: We are seeking a highly experienced Microsoft Purview Technical Architect with a minimum of 10 years of experience to join our team at Tavant Technologies. The successful candidate will play a key role in designing and implementing data governance solutions using Microsoft Purview. You will work closely with cross-functional teams to establish best practices for data management, ensure compliance, and enhance data visibility across the organization. Key Responsibilities: - Lead the architecture and design of data governance solutions using Microsoft Purview/Collibra/IDMC - Collaborate with data engineering, data science, and business teams to define data governance policies and standards. - Implement and manage data classification, lineage, and cataloging processes in Microsoft Purview. - Develop strategies for data quality, data security, and compliance with regulations such as GDPR and CCPA. - Conduct training sessions and workshops to educate teams on data governance best practices and the use of Microsoft Purview tools. - Monitor and optimize the performance of data governance solutions, ensuring they meet the organization's needs. - Provide technical leadership and mentorship to junior team members. Skills and Tools Required: - Extensive experience with Microsoft Azure and Microsoft Purview/Collibra/IDMC - Strong knowledge of data governance principles, frameworks, and best practices. - Proficiency in SQL and data modeling concepts. - Experience with data visualization tools such as Power BI or Tableau. - Familiarity with data privacy regulations and compliance requirements. - Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills to work effectively with stakeholders at all levels. - Knowledge of cloud architecture and data architecture principles. - Experience with ETL tools and data transformation processes is a plus. - Ability to work in a fast-paced, collaborative environment. If you are a passionate technical architect with a deep understanding of Data Governance tools and a commitment to driving data governance excellence, we invite you to apply and join our dynamic team at Tavant Technologies. Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Role & responsibilities Bachelors or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field. 7+ years of experience in data engineering, solution architecture, or enterprise data management roles. 5+ years of experience leading delivery of complex data integration or analytics solutions in a cloud environment (GCP, AWS, or Azure). 5+ years of hands-on experience in data modeling, database design, and architecture (dimensional, normalized, and canonical modeling). Expertise in cloud-native data architecture, particularly with Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Cloud Composer). Deep understanding of ETL/ELT frameworks, batch and streaming architectures, and orchestration tools (Airflow/Cloud Composer). Proven ability to design dimensional and canonical data models for enterprise analytics and reporting use cases. Hands-on experience with SQL, Python, and modern data engineering toolsets. Solid grasp of data governance, security, quality, and metadata management principles. Strong understanding of MDM solutions and data stewardship principles. Experience managing cross-functional delivery teams in Agile or hybrid delivery environments. Excellent communication and stakeholder management skills. Experience in Retail, Media, or Consumer Products industries is a plus Working knowledge of machine learning/AI, LLMs, or agentic AI data system design is a plus

Thank you for considering the QA Engineer position at Reveal HealthTech . We are an early-stage IT startup based in the US and India, focused on leveraging technology to deliver transformative healthcare solutions. Requirements Skills Required 5+ yrs of experience of SDLC, STLC, and QA methodologies Hands-on experience with manual and automation testing tools (e.g., Selenium, Postman, Cypress, JIRA) Proficiency in SQL for data validation and profiling Understanding of data governance, data quality management, and compliance (GDPR, HIPAA, etc.) Familiarity with ETL, BI, or data management tools (Informatica, Collibra, Talend, etc.) Excellent analytical, problem-solving, and documentation skills Strong communication and collaboration to work with cross-functional teams Roles & Responsibilities Quality Assurance (QA): Develop, execute, and maintain test plans, test cases, and automation scripts Perform functional, regression, integration, and API testing to ensure product quality Identify, document, and track bugs through defect management tools Work closely with developers and product teams to resolve issues and deliver seamless releases Validate product updates to ensure performance and reliability without disruptions Data Stewardship: Ensure accuracy, consistency, and reliability of organizational data Define and enforce data quality rules, standards, and governance policies Conduct data audits and resolve discrepancies across systems Collaborate with data owners, analysts, and IT teams to maintain data integrity Support regulatory compliance (GDPR, HIPAA, etc.) through proper data management practices Maintain documentation and metadata for easy traceability and reporting Benefits What do you get in return? Be part of an amazing team building a 0-1 healthcare tech company in a high-upside, risk-adjusted environment. Trust over control - we give you autonomy and expect ownership. Plenty of on-the-job and beyond-the-job learning opportunities. Competitive compensation and industry-best benefits Next Steps Send us your updated CV - if you can mention how you have enriched your previous organisation in a cover letter, that would be great! If we find your profile suitable, we will have our Talent personnel to reach out to you to understand your profile/interests and how best we can align mutually If you are passionate about QA and enjoy working on cutting-edge technologies, we would love to hear from you. Apply now to join our dynamic team! Reveal HealthTech welcomes all applicants regardless of race, gender, orientation, sexual identity, economic class, ability, disability, age, religious beliefs or disbeliefs, or status. We believe that different perspectives and backgrounds are what make a company flourish and we welcome everyone.

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Job Summary - A career in our Managed Services team will provide you with an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Data, Testing & Analytics as a Service team brings a unique combination of industry expertise, technology, data management and managed services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build and operate the next generation of software and services that manage interactions across all aspects of the value chain. Minimum Degree Required (BQ) *: Bachelor's degree Degree Preferred Required Field(s) of Study (BQ): Preferred Field(s) Of Study Computer and Information Science, Management Information Systems Minimum Year(s) of Experience (BQ) *: US Certification(s) Preferred Minimum of 1 year of experience Preferred Skills (PQs) Position Requirements: Required Skills Azure Cloud Engineer: Job Description Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 6 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 3-5 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, SSIS, AWS, Azure, Spark, SQL, Python etc. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Perform data transformation and processing tasks to prepare the data for analysis and reporting in Azure Databricks or Azure Synapse Analytics for large-scale data transformations using tools like Apache Spark. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have Azure certification

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Responsibilities:  Good understanding & experience in developing & implementing Data Governance, Metadata Management, Data Quality - frameworks, policies & processes  Good Knowledge of industry standards & regulations on Data Management like BCBS239, GDPR, CCPA etc  Experience in managing data lineage tools & visualizations to track data movement and transformations across systems  Strong skills in data quality management and hands on experience on data quality tools and techniques  Knowledge on other Data Management aspects like Master data Management, Data Privacy and Security  Strong understanding & hands on experience on Data Governance tool - Collibra. Experience with designing & implementing operating model in DGC, scanning different sources with Collibra Catalog connectors  Excellent communication & interpersonal skills, with the ability to interact effectively with senior stakeholders & cross-functional teams  Experience in project management methodologies & tools, including Agile  Experience of working as part of a global team with senior Stakeholders in Steering Committee, DG & DQ Forums & Working Groups - to understand & resolve data issues  Excellent analytical and problem -solving skills, with the ability to address complex data governance challenges Mandatory skill sets: Techno- functional Data Governance/Data Quality Preferred skill sets: Techno- functional Data Governance/Data Quality Years of experience required: 4-7 Education qualification: BTech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Governance Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Essential skills and experience Hands on experience in Collibra Workflows, asset model creation, cataloguing and assessment creation Exposure to AI platforms such as Open AI, Bedrock and integration platforms like snaplogic and mulesoft Deep understanding and practical knowledge of IDEs eg Eclipse/PyCharm or any Workflow Designer. Experience of one or more of the following languages: Java, JavaScript, Groovy, Python, Deep understanding and hands-on experience of CICD processes and tooling e.g. GitHub. Experience working in Dev-Ops teams in based Kubernetes tools Prior work experience in converting a business workflow into an automated set of actions. Proven knowledge in scripting and a willingness to learn new languages. Fantastic written & spoken English, interpersonal skills, and a collaborative approach to delivery. An enthusiasm for great documentation (e.g., high level designs, low level designs, coding standards, Knowledge Base Articles). Desirable skills and experience Engineering Degree in IT/Computer Science with minimum 10 years of experience Knowledge and experience of Collibra Data Governance platform. Exposure to AI models, AI governance, data policies and governance is an advantage Basic AWS knowledge is a plus Knowledge and experience of Integration technologies like Mulesoft and Snaplogic. Excellent Jira skills including the ability to rapidly generate JQL on-the-fly and save JQL queries/filters/views/etc for publishing to fellow engineers & senior stakeholders. Creation of documentation in Confluence. Experience of Agile practices, preferably having been part of an Agile team for several years. About Virtusa Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us. Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence. Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Location : Mohali City : Mohali State : Punjab (IN-PB) Country : India (IN) Requisition Number : 39025 Business Title- Manager - Data Governance and Data Quality Global Job Title-Mgr I Strategy & Trans Global Function-Business Services Global Department-Strategy and Transformation Reporting to Data Governance Lead Role Purpose Statement-The person will be part of our Data Governance team and will help drive the successful implementation and adoption of the Collibra Data Governance platform including Collibra Data quality. The person need to understand the Collibra Meta Model: Asset, Domain, Community, metadata ingestions using templates. Main Accountabilities- 8-10 Years of Experience in Data Governance and Data Quality Good hands-on experience in Collibra stack of tools such as Collibra DIC and DQ. Establish data quality, data lineage, and metadata management processes within Collibra. Exposure to GCP, Data Privacy, Data Domains, API’s Monitor and report on data governance metrics and KPIs, identifying areas for improvement and implementing corrective actions. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams." Knowledge and Skills- Behavior-"Use knowledge of Bunge’s business, structure and strategy to develop innovative solutions to improve results or eliminate problems. Build partnerships, appropriately influence to gain commitment, foster talent and coach others to grow in current or future roles. Drive results through high standards, focus on key priorities, organization, and preparing others for change." Technical-"• Accept responsibility/accountability for assigned tasks Break problems into manageable pieces and follow an organized approach to resolve them Plan tasks to create deliverables and effectively execute that plan with little direction from supervisor Deliver high-quality results on time Show willingness and ability to increase contribution and level of responsibility and proactively seek to do so." Education & Experience- "• Education: Bachelor of Engineering /Master of Computer Science/ Master of Science from premier institutes Skills: Collibra stack of tools (DIC, DQ) Data Warehouse / Data Modeling, ETL" Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world. Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status. Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled

Website-https://intraedge.com/ Job Title: ETL Developer – DataStage, AWS, Snowflake Experience: 5–7 Years Location: [Remote] Job Type: [Full-time ] About the Role We are looking for a talented and motivated ETL Developer / Senior Developer to join our data engineering team. You will work on building scalable and efficient data pipelines using IBM DataStage (on Cloud Pak for Data) , AWS Glue , and Snowflake . You will collaborate with architects, business analysts, and data modelers to ensure timely and accurate delivery of critical data assets supporting analytics and AI/ML use cases. Key Responsibilities Design, develop, and maintain ETL pipelines using IBM DataStage (CP4D) and AWS Glue/Lambda for ingestion from varied sources like flat files, APIs, Oracle, DB2, etc. Build and optimize data flows for loading curated datasets into Snowflake , leveraging best practices for schema design, partitioning, and transformation logic. Participate in code reviews , performance tuning, and defect triage sessions. Work closely with data governance teams to ensure lineage, privacy tagging, and quality controls are embedded within pipelines. Contribute to CI/CD integration of ETL components using Git, Jenkins, and parameterized job configurations. Troubleshoot and resolve issues in QA/UAT/Production environments as needed. Adhere to agile delivery practices, sprint planning, and documentation requirements. Required Skills and Experience 4+ years of experience in ETL development with at least 1–2 years in IBM DataStage (preferably CP4D version) . Hands-on experience with AWS Glue (PySpark or Spark) and AWS Lambda for event-based processing. Experience working with Snowflake : loading strategies, stream-task, zero-copy cloning, and performance tuning. Proficiency in SQL , Unix scripting , and basic Python for data handling or automation. Familiarity with S3 , version control systems (Git), and job orchestration tools. Experience with data profiling, cleansing, and quality validation routines. Understanding of data lake/data warehouse architectures and DevOps practices. Good to Have Experience with Collibra, BigID , or other metadata/governance tools Exposure to Data Mesh/Data Domain models Experience with agile/Scrum delivery and Jira/Confluence tools AWS or Snowflake certification is a plus

We are seeking a highly skilled Collibra Expert to lead enterprise-level data governance initiatives. The ideal candidate must have strong hands-on Collibra expertise, including configuration, workflow development, integration, and stakeholder engagement, with proven experience in implementing governance frameworks across large organizations. KeyResponsibilities Lead end-to-end implementation & administration of the Collibra Data Intelligence Platform. Design & configure Collibra Operating Models (domains, assets, workflows, roles). Develop & maintain custom workflows using BPMN & Collibra Workflow Designer. Integrate Collibra with Snowflake, Informatica, Tableau, Azure, SAP via APIs & connectors. Define & enforce data governance policies with stewards, owners & business teams. Implement & monitor data quality, lineage & metadata management. Act as Collibra SME & evangelist, driving data governance maturity. Provide training & support to technical and business users. Maintain documentation & ensure compliance with governance standards. RequiredSkills 10+ years in data governance, metadata management, or data quality. 5+ years hands-on Collibra experience (configuration, workflows, integrations). Proficiency with Collibra APIs, BPMN, Groovy, JavaScript. Experience with data cataloging, lineage & business glossary in Collibra. Familiarity with Snowflake, Azure, AWS, Informatica or similar platforms. Strong communication & stakeholder management skills. PreferredSkills Collibra Ranger / Solution Architect certification. Enterprise-level Collibra deployments experience. Knowledge of regulatory compliance (GDPR, HIPAA, CCPA). Background in data architecture / data engineering. SoftSkills Strong leadership & stakeholder collaboration. Excellent problem-solving & analytical mindset. Ability to mentor teams & evangelize data governance practices. ImmediateRequirement Candidates must be available for onsite work at Hyderabad, Indore, Ahmedabad with immediate availability. Resume Submission Please share resumes with full details including: Current CTC Expected CTC Notice Period / Immediate Availability Current Location Preferred Job Location Send profiles to: navaneetha@suzva.com

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. 2 to 5 years Banking, Insurance , Pharma Experience in Data Governance, Data Management Should have worked in Service industry including Banking, Insurance or any other Consulting Good communication skills - Written and Verbal Presentation skills - Should have worked on PPTs( Powerpoint) Worked on RFPs/Proposals Open to travel to Saudi Arabia or other countries if required Collibra experience MDM technical Required Skills Microsoft Power BI Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Key Responsibilities: - Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC). - Integrate Purview with data sources: Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. - Schedule and monitor metadata scanning and classification jobs. - Implement and maintain collection hierarchies aligned with data ownership. - Design metadata ingestion workflows for technical, business, and operational metadata. - Enrich data assets with business context: descriptions, glossary terms, tags. - Synchronize metadata across tools using REST APIs, PowerShell, or ADF. - Validate end-to-end lineage for datasets and reports (ADF → Synapse → Power BI). - Resolve lineage gaps or failures using mapping corrections or scripts. - Perform impact analysis to support downstream data consumers. - Create custom classification rules for sensitive data (PII, PCI, PHI). - Apply and manage Microsoft Purview sensitivity labels and policies. - Integrate with Microsoft Information Protection (MIP) for DLP. - Manage business glossary in collaboration with domain owners and stewards. - Implement approval workflows and term governance. - Conduct audits for glossary and metadata quality and consistency. - Automate Purview operations using: - PowerShell, Azure Functions, Logic Apps, REST APIs - Build pipelines for dynamic source registration and scanning. - Automate tagging, lineage, and glossary term mapping. - Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs. Tools & Technologies: - Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog - Experience in Microsoft Purview areas: 1. Label creation and policy management 2. Publish/Auto-labeling 3. Data Loss Prevention & Compliance handling 4. Compliance Manager, Communication Compliance, Insider Risk Management 5. Records Management, Unified Catalog, Information Barriers 6. eDiscovery, Data Map, Lifecycle Management, Compliance Alerts, Audit 7. DSPM, Data Policy Required Qualifications: - 4–6 years of experience in data governance or data management. - Strong experience in Microsoft Purview and Informatica governance tools. - Proficient in tracking and visualizing data lineage across systems. - Familiar with Azure Data Factory, Talend, dbt, and other integration tools. - Understanding of data regulations: GDPR, CCPA, SOX, HIPAA. - Ability to translate technical data governance concepts for business stakeholders.

Key Responsibilities: 1. Governance Strategy & Stakeholder Alignment - Develop and maintain enterprise data governance strategies, policies, and standards. - Align governance with business goals: compliance, analytics, and decision-making. - Collaborate across business, IT, legal, and compliance teams for role alignment. - Drive governance training, awareness, and change management programs. 2. Microsoft Purview Administration & Implementation - Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure. - Optimize Purview setup for large-scale environments (50TB+). - Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. - Schedule scans, set classification jobs, and maintain collection hierarchies. 3. Metadata & Lineage Management - Design metadata repositories and maintain business glossaries and data dictionaries. - Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions. - Ensure lineage mapping (ADF → Synapse → Power BI) and impact analysis. 4. Data Classification & Security Governance - Define classification rules and sensitivity labels (PII, PCI, PHI). - Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager. - Enforce records management, lifecycle policies, and information barriers. 5. Data Quality & Policy Management - Define KPIs and dashboards to monitor data quality across domains. - Collaborate on rule design, remediation workflows, and exception handling. - Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management. 6. Business Glossary & Stewardship - Maintain business glossary with domain owners and stewards in Purview. - Enforce approval workflows, standard naming, and steward responsibilities. - Conduct metadata audits for glossary and asset documentation quality. 7. Automation & Integration - Automate governance processes using PowerShell, Azure Functions, Logic Apps. - Create pipelines for ingestion, lineage, glossary updates, tagging. - Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc. 8. Monitoring, Auditing & Compliance - Set up dashboards for audit logs, compliance reporting, metadata coverage. - Oversee data lifecycle management across its phases. - Support internal and external audit readiness with proper documentation. Tools & Technologies: - Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog - Microsoft Purview capabilities: 1. Label creation & policy setup 2. Auto-labeling & DLP 3. Compliance Manager, Insider Risk, Records & Lifecycle Management 4. Unified Catalog, eDiscovery, Data Map, Audit, Compliance alerts, DSPM Required Qualifications: - 7+ years of experience in data governance and data management. - Proficient in Microsoft Purview and Informatica data governance tools. - Strong in metadata management, lineage mapping, classification, and security. - Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools. - Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs. - Skilled in bridging technical governance with business and compliance goals.

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Job Description: Data Governance Consultant Base Location: Gurgaon Responsibilities: Should be an expert on organizational information and governing enterprise data assets. Should have accountability for organization’s overall data and reporting process by responsibly managing assets for clients. Their responsibilities will include: Should have good knowledge and worked on insurance domain Work with business, technology, and process work streams to govern the data identification, data definition, data classification, data propagation and data traceability across the systems/functions/line of business. Excellent Understanding of all aspects of data governance – catalog, lineage, metadata management, data transformation etc., and understand business processes to provide insights. Should have good understanding and hands-on experience on end-to-end data flows/data lineage (able to capture data transformations, create lineage views) and identifying data dependencies in support of delivery, release, and change management. Should have hands-on experience on the entire data life cycle and build a governance regime with focus on protection and privacy controls across the stages. Responsible for defining and maintaining standards and best practices for data life cycle management along with integration in other data management tools. Should have ownership on the data quality improvement initiatives by leading combined teams of technical, business and quality analysts to ensure data accuracy, uniqueness, validity, and completeness. Should understand business domain, data definitions, technical & operational metadata and able to document and maintain data dictionary, data quality definitions and usage at the concept and data element level. Drive implementation of data governance initiatives such as data governance awareness and adoption program, perform implementation for various data governance pillars such as business glossary implementation, data access management etc. Guide and support requirements and testing of data quality initiatives, masking strategies, test cases. Identify new opportunities pertaining to the use of information assets to achieve efficiency and effectiveness in the marketplace (Data as the end product) / represent data as a strategic business asset. Qualifications: Minimum 4 years of experience with more than 3 years in data governance expert role. Bachelor's/master’s in computer science/IT or similar discipline. Good knowledge of the Insurance and/or Financial Services industry domain and related products is preferred. Proficient knowledge on Data Governance concepts including program/project management, change management, data quality, metadata management, data security, access, and data lineage. Experience in Collibra DIC in data management, metadata management, creation of assets, data classification, data lineages, able to capture end-to-end transformations (or similar cataloging tool technologies) for implementation and integration. Experience using agile project management tool such as Jira. Experience with working with various stakeholders across the organization, internal and external stakeholders including vendors and subcontractors. Effective communication, stakeholder management and interpersonal skills. Should have exceptional organizational skills, with the ability to handle complex projects in a multi-tasking and multi-client environment and meet deadlines while delivering high quality results. Tools and Technology: Hands-on experience on Collibra Knowledge on Excel Macros Mandatory Skill Set- Data Governance Preferred Skill Set- Data Governance Year of experience required- 4-7 Qualifications- BTech Required Skills Data Governance Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities: · Good understanding & experience in developing & implementing Data Governance, Metadata Management, Data Quality - frameworks, policies & processes · Good Knowledge of industry standards & regulations on Data Management like BCBS239, GDPR, CCPA etc · Experience in managing data lineage tools & visualizations to track data movement and transformations across systems · Strong skills in data quality management and hands on experience on data quality tools and techniques · Knowledge on other Data Management aspects like Master data Management, Data Privacy and Security · Strong understanding & hands on experience on Data Governance tool - Collibra. Experience with designing & implementing operating model in DGC, scanning different sources with Collibra Catalog connectors · Excellent communication & interpersonal skills, with the ability to interact effectively with senior stakeholders & cross-functional teams · Experience in project management methodologies & tools, including Agile · Experience of working as part of a global team with senior Stakeholders in Steering Committee, DG & DQ Forums & Working Groups - to understand & resolve data issues · Excellent analytical and problem -solving skills, with the ability to address complex data governance challenges Mandatory skill sets: Good understanding & experience in developing & implementing Data Governance, Metadata Management, Data Quality - frameworks, policies & processes Preferred skill sets: Financial Services industry experience with a solid understanding of Capital Markets/ Banking/ Finance domain Years of experience required: 3-7 Education qualification: B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Informatics Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Location : Mohali City : Mohali State : Punjab (IN-PB) Country : India (IN) Requisition Number : 39025 Business Title- Manager - Data Governance and Data Quality Global Job Title-Mgr I Strategy & Trans Global Function-Business Services Global Department-Strategy and Transformation Reporting to Data Governance Lead Role Purpose Statement-The person will be part of our Data Governance team and will help drive the successful implementation and adoption of the Collibra Data Governance platform including Collibra Data quality. The person need to understand the Collibra Meta Model: Asset, Domain, Community, metadata ingestions using templates. Main Accountabilities- 8-10 Years of Experience in Data Governance and Data Quality Good hands-on experience in Collibra stack of tools such as Collibra DIC and DQ. Establish data quality, data lineage, and metadata management processes within Collibra. Exposure to GCP, Data Privacy, Data Domains, API’s Monitor and report on data governance metrics and KPIs, identifying areas for improvement and implementing corrective actions. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams." Knowledge and Skills- Behavior-"Use knowledge of Bunge’s business, structure and strategy to develop innovative solutions to improve results or eliminate problems. Build partnerships, appropriately influence to gain commitment, foster talent and coach others to grow in current or future roles. Drive results through high standards, focus on key priorities, organization, and preparing others for change." Technical-"• Accept responsibility/accountability for assigned tasks Break problems into manageable pieces and follow an organized approach to resolve them Plan tasks to create deliverables and effectively execute that plan with little direction from supervisor Deliver high-quality results on time Show willingness and ability to increase contribution and level of responsibility and proactively seek to do so." Education & Experience- "• Education: Bachelor of Engineering /Master of Computer Science/ Master of Science from premier institutes Skills: Collibra stack of tools (DIC, DQ) Data Warehouse / Data Modeling, ETL" Bunge (NYSE: BG) is a world leader in sourcing, processing and supplying oilseed and grain products and ingredients. Founded in 1818, Bunge’s expansive network feeds and fuels a growing world, creating sustainable products and opportunities for more than 70,000 farmers and the consumers they serve across the globe. The company is headquartered in St. Louis, Missouri and has 25,000 employees worldwide who stand behind more than 350 port terminals, oilseed processing plants, grain facilities, and food and ingredient production and packaging facilities around the world. Bunge is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, transgender status, national origin, citizenship, age, disability or military or veteran status, or any other legally protected status. Bunge is an Equal Opportunity Employer. Minorities/Women/Veterans/Disabled

Position Overview Job Title - IT Architect Specialist, AVP Location - Pune, India Role Description This role is for a Senior business functional analyst for Group Architecture. This role will be instrumental in establishing and maintaining bank wide data policies, principles, standards and tool governance. The Senior Business Functional Analyst acts as a link between the business divisions and the data solution providers to align the target data architecture against the enterprise data architecture principles, apply agreed best practices and patterns. Group Architecture partners with each division of the bank to ensure that Architecture is defined, delivered, and managed in alignment with the bank’s strategy and in accordance with the organization’s architectural standards. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Data Architecture: The candidate will work closely with stakeholders to understand their data needs and break out business requirements into implementable building blocks and design the solution's target architecture. GCP Data Architecture & Migration: A strong working experience on GCP Data architecture is must (BigQuery, Dataplex, Cloud SQL, Dataflow, Apigee, Pub/Sub, ...). Appropriate GCP architecture level certification. Experience in handling hybrid architecture & patterns addressing non- functional requirements like data residency, compliance like GDPR and security & access control. Experience in developing reusable components and reference architecture using IaaC (Infrastructure as a code) platforms such as terraform. Data Mesh: The candidate is expected to have proficiency in Data Mesh design strategies that embrace the decentralization nature of data ownership. The candidate must have good domain knowledge to ensure that the data products developed are aligned with business goals and provide real value. Data Management Tool: Access various tools and solutions comprising of data governance capabilities like data catalogue, data modelling and design, metadata management, data quality and lineage and fine-grained data access management. Assist in development of medium to long term target state of the technologies within the data governance domain. Collaborate with stakeholders, including business leaders, project managers, and development teams, to gather requirements and translate them into technical solutions. Your Skills And Experience Extensive experience in data architecture, within Financial Services Strong technical knowledge of data integration patterns, batch & stream processing, data lake/ data lake house/data warehouse/data mart, caching patterns and policy bases fine grained data access. Proven experience in working on data management principles, data governance, data quality, data lineage and data integration with a focus on Data Mesh Knowledge of Data Modelling concepts like dimensional modelling and 3NF. Experience of systematic structured review of data models to enforce conformance to standards. High level understanding of data management solutions e.g. Collibra, Informatica Data Governance etc. Proficiency at data modeling and experience with different data modelling tools. Very good understanding of streaming and non-streaming ETL and ELT approaches for data ingest. Strong analytical and problem-solving skills, with the ability to identify complex business requirements and translate them into technical solutions. How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

As an Accenture Technology Strategy & Advisory Consultant, you will have the opportunity to work on transformative strategies for global clients, focusing on innovative R&D transformation and agile methodologies to redefine business models using Data & Analytics solutions. You will be part of a high performing team that aims to help clients achieve growth and efficiency through customized data and analytics products and services. Your role will involve collaborating with client stakeholders, designing enterprise-wide data strategies, and driving projects to deliver value to clients. Key Responsibilities: - Assess Data & Analytics potential and develop use cases for business transformation - Envision and design next-generation data and analytics products and services - Formulate guiding principles and components for client technology landscape - Evaluate existing data and analytics products and frameworks to develop proposed solutions - Establish effective data governance frameworks and operating models - Conduct discovery workshops and design sessions to identify data opportunities and client pain areas - Collaborate with business experts, consultants, and technology teams for solution development and implementation - Manage budgeting, forecasting activities, and financial proposals Requirements: - MBA from a tier 1 institute - 5-7 years of Strategy Consulting experience at a consulting firm - Experience in Data Capability Maturity Assessment, Data & Analytics Strategy, Data Operating Model & Governance, Data on Cloud Strategy, Data Architecture Strategy - Proficiency in data governance technologies such as Collibra, Talend, Informatica, etc. - Experience with Cloud & Non-Cloud platforms like AWS, Azure, GCP, Snowflake, Hadoop, etc. - Strong leadership skills and team management experience - Foundational understanding of data privacy and IT & Enterprise architecture concepts - Industry expertise in Financial Services, Retail, Telecommunications, etc. - CDMP Certification from DAMA preferred - Cloud Data & AI Practitioner Certifications (Azure, AWS, Google) desirable If you are a problem solver with a passion for creating an impact and being part of an inclusive and collaborative culture, Accenture Technology Strategy & Advisory offers exciting global opportunities for you to excel in the field of Data & Analytics. Join us in redefining business models and driving innovation for our clients.,

About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them. With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore. Website: https://www.straive.com/ Overview /Objective: The Data Governance Lead will serve as a hands-on leader to drive the development and implementation of our enterprise-wide data governance framework. This role is critical to solving current data challenges, including inconsistent business rules, unclear data ownership, lack of data quality standards, fragmented business taxonomies, and absence of a centralized data catalog. The successful candidate will serve as a bridge between business and technical stakeholders to establish scalable governance practices that increase trust in data, reduce inefficiencies, and enable data-driven decision-making across the organization. Responsibilities: Governance Framework & Standards Design and implement a fit-for-purpose enterprise data governance framework. Develop and maintain policies, procedures, and standards for data governance, including data ownership, stewardship, access, and usage. Lead the rollout of role definitions for data owners and stewards across the business. Business Rules & Taxonomy Management Partner with business units to identify, standardize, and document core business rules and data definitions. Drive alignment and version control of business taxonomies, ensuring they are centrally maintained and regularly updated. Establish a governance process for creating, updating, and retiring taxonomy elements and business rules. Data Quality & Accountability Define and implement data quality dimensions (accuracy, completeness, timeliness, consistency, etc.) across key data domains. Collaborate with functional leads to establish and maintain quality rules and thresholds. Create a feedback loop to monitor data issues and ensure accountability for resolution. Data Ownership & Stewardship Lead the identification and onboarding of data owners and stewards. Facilitate training and engagement programs to support the ongoing participation of governance roles. Establish a RACI model to ensure clarity of responsibilities and decision-making authority. Metadata Management & Cataloging Lead the selection and implementation of a data catalog and metadata management solution (if not already in place). Work with technical teams to populate and maintain metadata in a centralized platform. Promote catalog adoption and usage across the enterprise. Cross-Functional Engagement Partner with data platform, engineering, analytics, legal, compliance, and business teams to embed governance in daily operations. Serve as a subject matter expert and advisor on data governance for major initiatives and projects. Qualifications: 10+ years of experience in data management, with 7+ years in Data Governance roles. Proven track record designing and operationalizing governance frameworks at scale. Strong knowledge of data quality principles, metadata management, business rules management, and metadata standards. Hands-on knowledge with data governance platforms (e.g., Collibra, Alation, Informatic) is a plus. Familiarity with Google cloud platform(GCP) Exceptional communication and stakeholder management skills. Ability to operate both strategically and tactically in a cross-functional environment.

Job Description : Design, develop, and optimize ETL workflows using Informatica PowerCenter or IICS for critical banking data systems. Build and maintain data virtualization layers in Denodo to integrate structured and unstructured data from core banking, payments, risk, and regulatory platforms. Collaborate with data architects, business analysts, and risk/compliance teams to deliver scalable and secure data solutions. Ensure data quality, integrity, and compliance with banking regulations (e.g., BCBS 239, GDPR, SOX, PCI DSS). Develop data lineage and metadata mappings to support audit, reporting, and regulatory submissions. Support migration of banking data systems to cloud platforms (AWS, Azure, or GCP). Required Skills 5+ years of ETL development experience using Informatica PowerCenter or IICS. 2+ years of hands-on Denodo development experience. Strong expertise in SQL and performance tuning. Experience in banking or financial services with exposure to core banking, credit risk, AML/KYC, or regulatory reporting systems. Knowledge of data security and compliance standards relevant to BFSI. Familiarity with API-based integrations for real-time data feeds. Good-to-Have Skills Exposure to data governance platforms like Collibra or Informatica Axon. Experience with data lakes or cloud data platforms like Snowflake, Databricks, or Redshift. Basic scripting skills (Python, Shell) for automation. Denodo or Informatica certifications. Email: aswini.u@applogiq.org Phone: 96293 11599 Job Type: Full-time Work Location: In person Speak with the employer +91 9629311599

We are looking for a highly skilled Scala Data Engineer to design, build, and optimize large-scale data platforms. The ideal candidate will have deep expertise in Scala, Spark, and SQL, with proven experience delivering scalable and high-performance data solutions in cloud-native environments. Key Responsibilities Design, build, and optimize scalable data pipelines using Apache Spark and Scala. Develop real-time streaming pipelines leveraging Kafka/Event Hubs. Own the design and architecture of data systems with a strong focus on performance, scalability, and reliability. Collaborate with cross-functional teams to deliver high-quality data products. Mentor junior engineers and enforce best practices in coding, testing, and data engineering standards. Implement and maintain data governance and lineage practices. Mandatory Skills Strong programming expertise in Scala (preferred over Java). Advanced proficiency in SQL and Apache Spark. Strong understanding of Data Structures & Algorithms. Hands-on experience in data engineering for large-scale systems. Exposure to cloud-native environments (Azure preferred). Preferred Skills Big Data Ecosystem: Hadoop, Kafka, Structured Streaming/Event Hub. CI/CD tools: Git, Docker, Jenkins. Experience with Medallion Architecture, Parquet, Apache Iceberg. Orchestration tools: Airflow, Oozie. Familiarity with NoSQL DBs (Cassandra, MongoDB, etc.). Experience with Data Governance tools: Alation, Collibra, Lineage, Metadata management. Location-Bangalore Hybrid (3 days WFO/week)

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? We are building a banking platform that enables teams to create products at scale and powers digital channels to deliver compelling experiences in a dramatically faster fashion . We look primarily for people who are passionate about solving business problems through innovation and engineering practices. You will be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders daily to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. We welcome diverse perspectives and people who are not afraid to challenge assumptions. Our mission is to accelerate the pace of financial innovation and build new financial products for American Express. Our platform streamlines the process of launching and iterating financial products. Responsibilities: Develops and tests software, including ongoing refactoring of code & drives continuous improvement in code structure & quality. Functions as a core member of an Agile team driving User story analysis & elaboration, design and development of software applications, testing & builds automation tools. Designs, codes, tests, maintains , and documents data applications. Takes part in reviews of own work and reviews of colleagues' work. Defines test conditions based on the requirements and specifications provided. Partner with the product teams to understand business data requirements, identify data needs and data sources to create data architecture Documents data requirements / data stories and maintains data models to ensure flawless integration into existing data architectures Leads multiple tasks effectively - progresses work in parallel Adapts to change quickly and easily Handles problems and acts on own initiative without being prompted Qualifications: Must have demonstrated proficiency and experience in the following tools and technologies: Python Object Oriented Programming Python Built in libraries: JSON, Base64, logging, os , etc. Python: Poetry and dependency management Asynchronous Reactive Micro services utilizing Fast API Firm foundational understanding of Distributed Storage and Distributed Compute Py spark framework: DataFrames (Aggregation, Windowing techniques), Spark SQL Cornerstone Data Ingestion Process, Cornerstone Business Metadata management , Interactive Analytics using YellowBrick Hyperdrive JSON schema development , CStreams Realtime event ingestion pipeline using Kafka Event Engine Management Test Driven Development Must have Banking Domain Knowledge: Money Movement, Zelle, ACH, Intraday Working Knowledge of following tools and technologies: Data Governance Toolset: Collibra, Manta REST APIs Specifications using Swagger Development Tool Central, XLR, Jenkins Docker Image creatio n, Containers, PODs Hydra Cloud Deployment and Troubleshooting Logging using Amex Enterprise Logging Framework Analytica l and problem-solving skills Technical fluency - ability to clearly describe tradeoffs to technical and non -technical audiences alike to help support product decisions. Highly organized with strong prioritization skills and outstanding written and verbal communication. You are great at research, and documenting your learnings. A bachelor's degree . We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Role Description Usha Req Data Integration Data Management Lead Consultant a Should have expereince working in multiple ETL technologies Informatica IICS Talend Cloud Data Integration Fivetran DBT and others b Should be handson in ETL design migration from onpremise to cloud building ingestion frameworks building data APIs and defining data lineage c Should be adept in Master Data Management tools and should have used atleast 1 MDM tool like Informatica MDM Stibo Profisee and others d Should have worked in atleast one data cataloguing tool like Informatica EDM Collibra or Alation e Should have expereince in delivering consulting assignments for defining a data integration and data management architecture selection of tools and best practices f Should be able to define data governance processes and setting up the charter for data governance in collaboration with customer g Should be customer facing and work with cloud data architects source application owners and target application owners in defining end to end data pipelines and build observability h Should be able to build a team for consulting and for starting the delivery assignment and conduct regular reviews i Preferably aligned to one of the industry verticals BFSI or Manufacturing CPGRetail j Should have exposure to modern age cloud data technologies like Databricks Snowflake MSFabric Skills Mandatory Skills : Informatica PowerCenter,Informatica Powe Good To Have Skills On-prem Data Architecture

Role Summary We are seeking a highly experienced and technically proficient MDM Technical Lead with over 10 years of experience in enterprise data management and 5+ years specializing in Informatica MDM. The ideal candidate will lead the development and implementation of Master Data Management solutions, ensuring consistency, accuracy, and governance of critical business data across platforms. The role requires deep technical expertise in data modeling, integration, transformation, cloud data platforms, and data governance Responsibilities : MDM Architecture & Implementation Design and implement robust MDM solutions using Informatica MDM. Define and develop matching, survivorship, deduplication, and data quality rules to create and maintain Golden Records. Build and execute scalable MDM business cases, technical roadmaps, and frameworks for value realization. Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions. Data Governance & Metadata Management Implement data governance best practices, policies, and standards using Informatica CDGC (Cloud Data Governance and Catalog). Lead initiatives for metadata management, lineage tracking, and stewardship workflows. Define and manage data ownership, stewardship responsibilities, and domain-specific policies. Data Integration & Cloud Enablement Design and build data pipelines and transformation workflows using Informatica, dbt, Matillion, or HVR. Work with cloud data platforms such as Snowflake, AWS (S3, Glue, Redshift) to architect and operationalize cloud-native MDM solutions. Ensure seamless data ingestion, transformation, and publishing for enterprise-wide data consumption. Leadership & Collaboration Act as a technical leader, mentoring junior data engineers and MDM analysts. Liaise with Data Architects, Business Analysts, and Data Stewards to ensure alignment of MDM initiatives with enterprise goals. Provide hands-on guidance through technical design sessions, code reviews, and deployment Skills : Core MDM & Data Management : Informatica MDM (5+ years, including Hub Configuration, Business Entity Services) Match & Merge rules, Survivorship, Hierarchy Management IDD Configuration and SIF APIs Informatica Data Quality (IDQ) Cloud Platforms & Data Engineering : Snowflake, AWS (Redshift, S3, Glue, Lambda) dbt, Matillion, HVR, Informatica Cloud Services Strong SQL and data modeling (3NF, Star Schema, Data Vault) Data Governance & Metadata Tools : Informatica CDGC Collibra (preferred) Business Glossary & Metadata Curation Lineage and Impact Analysis Version Control, Deployment & Automation : Git, GitHub, Jenkins, CI/CD pipelines Terraform or CloudFormation (for infrastructure provisioning) Shell scripting or Python for automation Required Qualifications Bachelors or Masters degree in Computer Science, Data Science, Information Systems, or related field 4+ years of experience in data management, with at least 5 years of hands-on experience in Informatica MDM Proven expertise in implementing MDM strategies across multiple domains (Customer, Vendor, Product, etc.) Strong understanding of data governance frameworks, data quality processes, and master/slave architecture Experience working in cloud-based enterprise data Qualifications : Informatica MDM and CDGC Certifications Experience with Agile/Scrum methodologies Experience working with large-scale global data programs Background in regulated industries (e.g., BFSI, Healthcare, Manufacturing) is a plus Soft Skills Strong analytical and problem-solving mindset Excellent communication and stakeholder management skills Proactive leadership, team mentoring, and decision-making ability Ability to thrive in a dynamic, cross-functional environment (ref:hirist.tech)