309 Collibra Jobs - Page 13

DATAECONOMY is one of the fastest-growing Data & AI company with global presence. We are well-differentiated and are known for our Thought leadership, out-of-the-box products, cutting-edge solutions, accelerators, innovative use cases, and cost-effective service offerings. We offer products and solutions in Cloud, Data Engineering, Data Governance, AI/ML, DevOps and Blockchain to large corporates across the globe. Strategic Partners with AWS, Collibra, cloudera, neo4j, DataRobot, Global IDs, tableau, MuleSoft and Talend. Job Title: Delivery HeadExperience: 18 - 22 YearsLocation: HyderabadNotice Period: Immediate Joiners are preferred Job Summary:We are seeking a seasoned Technical Delivery Manager with deep expertise in Data Engineering and Data Science to lead complex data initiatives and drive successful delivery across cross-functional teams. The ideal candidate brings a blend of strategic thinking, technical leadership, and project execution skills, along with hands-on knowledge of modern data platforms, machine learning, and analytics frameworks. Key Responsibilities:Program & Delivery ManagementOversee end-to-end delivery of large-scale data programs, ensuring alignment with business goals, timelines, and quality standards.Manage cross-functional project teams including data engineers, data scientists, analysts, and DevOps personnel.Ensure agile delivery through structured sprint planning, backlog grooming, and iterative delivery.Technical LeadershipProvide architectural guidance and review of data engineering pipelines and machine learning models.Evaluate and recommend modern data platforms (e.g., Snowflake, Databricks, Azure Data Services, AWS Redshift, GCP BigQuery).Ensure best practices in data governance, quality, and compliance (e.g., GDPR, HIPAA).Stakeholder & Client ManagementAct as the primary point of contact for technical discussions with clients, business stakeholders, and executive leadership.Translate complex data requirements into actionable project plans.Present technical roadmaps and delivery status to stakeholders and C-level executives.Team Development & MentoringLead, mentor, and grow a high-performing team of data professionals.Conduct code and design reviews; promote innovation and continuous improvement. Key Skills and Qualifications:Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related field.18–22 years of total IT experience with at least 8–10 years in data engineering, analytics, or data science.Proven experience delivering enterprise-scale data platforms, including:ETL/ELT pipelines using tools like Apache Spark, Airflow, Kafka, Talend, or Informatica.Data warehouse and lake architectures (e.g., Snowflake, Azure Synapse, AWS Redshift, Delta Lake).Machine Learning lifecycle management (e.g., model training, deployment, MLOps using MLflow, SageMaker, or Vertex AI).Strong knowledge of cloud platforms (Azure, AWS, or GCP).Deep understanding of Agile, Scrum, and DevOps principles.Excellent problem-solving, communication, and leadership skills. Preferred Certifications (Optional but Beneficial):PMP, SAFe Agile, or similar project management certifications.Certifications in cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).Certified Scrum Master (CSM) or equivalent.

Experience in designing and implementing business process workflows using Collibra Workflow Designer. Understanding of Collibra Data Governance Center (DGC) and its modules, including Data Catalog, Business Glossary, and Policy Manager. Experience in metadata harvesting, lineage tracking, and governance to improve data visibility. Proficiency in using Collibra REST APIs for workflow automation, data exchange, and custom integrations with other tools. Familiarity with Collibra Data Quality & Observability, setting up data quality rules and configuring DQ workflows. Familiarity with Groovy & Java for developing custom workflows and scripts within Collibra. Ability to write Python & SQL for data validation, integration scripts, and automation. Understanding of ETL processes and integrating Collibra with cloud/on-prem databases. Familiarity with data governance frameworks (e.g., GDPR, CCPA, HIPAA) and best practices. Experience in managing technical and business metadata effectively. Ability to track data lineage and assess downstream/upstream data impacts.

Overview We are seeking an experienced Data Architect with extensive expertise in designing and implementing modern data architectures. This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks. The ideal candidate will have a proven track record of implementing Databricks-based solutions in the healthcare industry, with expertise in data catalog implementation and governance frameworks. About The Role As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the Databricks platform. You will lead the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance. Key Responsibilities Design and implement modern data architectures using Databricks Lakehouse platform Lead the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems Develop data engineering frameworks and reusable components to accelerate delivery Establish CI/CD pipelines and infrastructure-as-code practices for data solutions Implement data catalog solutions and governance frameworks Create technical specifications and architecture documentation Provide technical leadership to data engineering teams Collaborate with cross-functional teams to ensure alignment of data solutions Evaluate and recommend technologies, tools, and approaches for data initiatives Ensure data architectures meet security, compliance, and performance requirements Mentor junior team members on data architecture best practices Stay current with emerging technologies and industry trends Qualifications Extensive experience in data architecture design and implementation Strong software engineering background with expertise in Python or Scala Proven experience building data engineering frameworks and reusable components Experience implementing CI/CD pipelines for data solutions Expertise in infrastructure-as-code and automation Experience implementing data catalog solutions and governance frameworks Deep understanding of Databricks platform and Lakehouse architecture Experience migrating workloads from legacy systems to modern data platforms Strong knowledge of healthcare data requirements and regulations Experience with cloud platforms (AWS, Azure, GCP) and their data services Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred Technical Skills Programming languages: Python and/or Scala (required) Data processing frameworks: Apache Spark, Delta Lake CI/CD tools: Jenkins, GitHub Actions, Azure DevOps Infrastructure-as-code (optional): Terraform, CloudFormation, Pulumi Data catalog tools: Databricks Unity Catalog, Collibra, Alation Data governance frameworks and methodologies Data modeling and design patterns API design and development Cloud platforms: AWS, Azure, GCP Container technologies: Docker, Kubernetes Version control systems: Git SQL and NoSQL databases Data quality and testing frameworks Optional - Healthcare Industry Knowledge Healthcare data standards (HL7, FHIR, etc.) Clinical and operational data models Healthcare interoperability requirements Healthcare analytics use cases

Experience in designing and implementing business process workflows using Collibra Workflow Designer. Understanding of Collibra Data Governance Center (DGC) and its modules, including Data Catalog, Business Glossary, and Policy Manager. Experience in metadata harvesting, lineage tracking, and governance to improve data visibility. Proficiency in using Collibra REST APIs for workflow automation, data exchange, and custom integrations with other tools. Familiarity with Collibra Data Quality & Observability, setting up data quality rules and configuring DQ workflows. Familiarity with Groovy & Java for developing custom workflows and scripts within Collibra. Ability to write Python & SQL for data validation, integration scripts, and automation. Understanding of ETL processes and integrating Collibra with cloud/on-prem databases. Familiarity with data governance frameworks (e.g., GDPR, CCPA, HIPAA) and best practices. Experience in managing technical and business metadata effectively. Ability to track data lineage and assess downstream/upstream data impacts.

Key Accountabilities Investigate, troubleshoot, and resolve data related production issues. Provide timely reporting on data quality metrics and trends. Document and maintain support procedures for data quality processes. Collaborate with IT and business teams to implement data quality improvements. Ensure data validation and reconciliation processes are followed. Engage with stakeholders to establish procedures for data validation and quality metrics. Track data issues using incident tickets and ensure timely resolution or escalate issues for immediate attention if not resolved. Maintain and update production support dashboards (Microsoft Power BI) to ensure accuracy and meet monitoring requirements. Develop Data Quality health reports for stakeholders to monitor and observe data reliability across the platform. Creating and maintaining documentation procedures, and best practices of data governance and related processes Provide training to users on tools to promote awareness and adherence. Collaborating with data owners and data stewards to ensure data governance is implemented and followed. Able to work with vendor as there will be technical platform issues that requires coordination and solution. Deliver consistent, accurate and high- quality work while communicating findings and insights in a clear manner. Experience / Qualifications At least 4 years of hands-on experience with a Data Quality tool (Collibra is preferred), Databricks and Microsoft Power BI Strong technical skills in data and database management, with proficiency in data wrangling, analytics, and transformation using Python and SQL Asset Management experience will be beneficial to understand and recommend the required data quality rules and remediation plan to the stakeholders. Other Attributes Curious, analytical, and able to think critically to solve problems Detail-oriented and comfortable dealing with complex structured and unstructured datasets Customer-centric and strive to deliver value by effectively and proactively engaging stakeholders Clear and effective communication skills, with an ability to communicate complex ideas and manage stakeholder expectations Strong organisational and prioritisation skills, adaptable and able to work independently as required Show more Show less

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is overall development of the target Architecture through defining the technology roadmap for own business/ domain. Recognized as the subject matter expert for a specific domain and provides expert advice & guidance to different business stakeholders ͏ Do Develop architectural application for the new deals/ major change requests in existing deals Creates enterprise wide business/ domain architecture deliverables (enabling, diagnostic and actionable) focused on the target audience and its issues and opportunities Look for opportunities to use high-level business and operating models (business capability and value chain), combined with or relating to business, people, information, technology and solutions. Contributes to the Target Architecture, by developing and maintaining the technology roadmap for area of expertise and ensuring that roadmap remains aligned to the Business Strategy Recognizing innovative use of technology for increasing performance measures Works with other IS and business stakeholders to drive the development and adoption of the target architecture for own domain Establish domain specific standards, near/mid-term strategy, and roadmaps, in adherence to, and in support of Enterprise standards, strategy, and roadmaps. Guide a solution from concept to delivery - envision and create solutions that meet requirements Prove the feasibility of a design; and can ultimately be implemented and supported in the Production environment Oversee product/ platform engineering, protocol map development, virtualization as per the business solution requirements Apply architectural and engineering concepts to design a solution that meets operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability. Participate and lead research and development efforts (proof of concept, prototypes), as subject matter experts, when introducing new technologies, in conjunction with team and Product Owners ͏ Partners with IT and line of business functional groups to communicate and clarify business needs, contributes to the development of long-range system plans, and ensures that IT products, services and processes are aligned with line of business needs. Define high-level migration plans to address the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes Provides technology consulting to solution architects, junior staff members, and others who are using or modifying multiple domain technologies within a solution, insuring the technology operates coherently to meet overall needs Interaction with EA, OEMs, Technical leads for defining business solutions Depending on the client’s need with particular standards and technology stacks create complete RFPs Clearly articulate and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Provide solution of RFP’s received from clients and ensure overall design assurance Develop a direction to manage the portfolio of all the business/ domain requirements including systems, shared infrastructure services in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology Define and understand current issues and problems and identify improvements Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout Understand the root cause problem in integrating business and product units Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Collaborating with sales and delivery leadership teams to identify future needs and requirements Tracks industry and application trends and relates these to planning current and future IT needs ͏ Understanding enterprise requirements and provide solutions for technical ecosystem Creating Intellectual Property in forms of services, patterns, models and organizational approaches. Bring knowledge of automation in application by embracing Agile and dev-ops principles to reduce manual part Responsible for successfully applying the technology in their domain to solve business problems in a supportable, cost effective, way Analyze the current technology environment to detect critical deficiencies and recommend solutions for improvement. In addition, analyze the technology industry and market trends to determine their potential impact on the enterprise as well as on the enterprise technology architecture Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Provide platform to create standardize tools, uniform design and techniques are maintained to reduce costs of maintenance Seamless integration and advising of new and existing systems to eliminate potential problems and maintain data structure and bring value in terms of development Serve as technical owner and point of contact for domain specific solutions and provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology ͏ Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Collaborate with enterprise architect for translating business strategy to execution Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Bring value in terms of quality in development activities by leveraging cloud based and scalable infrastructure Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Provide architectural oversight of projects; ensure requirements are in alignment with business strategies and business architecture roadmap/framework. Ensure solutions developed across organization are aligned to enterprise architecture standards and principles, leverage common solutions and services, and meet financial targets (cost and benefits). Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Mandatory Skills: Collibra. Experience: >10 YEARS. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall. Responsibilities [Be specific when describing each of the responsibilities. Use gender-neutral, inclusive language.] Example: Determine and develop user requirements for systems in production, to ensure maximum usability Qualifications [Some qualifications you may want to include are Skills, Education, Experience, or Certifications.] Example: Excellent verbal and written communication skills Skills: etl processes,sql,data modeling,python,business intelligence,data quality,dgc,communication skills,data governance,collibra

Take a lead role in acquiring, managing and retaining meaningful relationships that deliver outstanding experience to our customers. In this role, you will balance your focus on business results by offering options and finding solutions to help our customers with issues. Job Summary: As a Payment Lifecycle Associate within JPMorgan Chase, you will play a crucial role in upholding the company's strength and resilience. Your contributions will be instrumental in fostering the firm's growth responsibly, as you anticipate new and emerging risks and apply your expert judgement to tackle real-world challenges impacting our company, customers, and communities. You will be part of a culture that promotes innovative thinking, challenges the status quo, and aims for best-in-class performance. Job Responsibilities: Manage the end-to-end feed onboarding process of new data feeds, including gathering requirements and UAT testing. Ensure the new feeds meet the necessary standards of accuracy and completeness, and monitor the performance of data feeds post-integration to ensure they continue to function optimally. Perform data analysis and reconciliations to identify data quality issues and their impact on CAM. Investigate the root causes of data quality issues and work with teams to implement corrective actions. Manage data issues across CAM by effectively collaborating with CAM service leads, various functional leads from LOBs, Tech, and Ops to document data issues, root causes, and communicate remediation plans. Participate in UAT testing, review test scripts, and create business requirement documentation (BRD). Generate and present data quality reports, tracking key metrics and providing insights to business stakeholders. Update and maintain procedure documentation and process flows. Required Qualifications, Skills and Capabilities: Excellent written and verbal communication Experience of building relationships with technology teams to clearly explain requirements, user stories and functionality Understanding of financial products like equities, fixed income, payments is required to work closely with external feed providers to onboard data. Ability to gather, analyze and interpret large datasets t extract valuable insights that help drive business strategies. Exemplifies the highest standards of integrity, respects individuals at every level and can flex style Intermediate Excel skills required for data analysis (e.g. Use of pivot tables and v-lookups Works independently and manage requests from multiple groups, define business requirement specifications working with users. Take ownership of ensuring the requirement is supported and built end to end solution. Ability to think strategically but have strong attention to detail. Team player, with strong interpersonal and networking skills Strong organizational skills - ability to take strategic direction and independently develop/manage project plans/Multi task and deliver against deadlines Preferred Qualifications, Skills and Capabilities: Experience in Cash, Payments or Finance. Proficiency in using data quality tools and techniques like SQL, OWL, Collibra and others. Track record of defining and successful delivery of new solutions from concept to launch and rollout. Problem solving skills - superior ability to structure and scope complex problems, apply a range of technology/analytical tools, gain and synthesize insights and develop recommendations Helps promote a client/customer centred organization Desire to receive feedback and continuously improve, demonstrating a growth mindset

Promote & ensure high-quality, fit-for-purpose data as part of Chief Data Office, shaping industry-leading data management strategies The successful candidate will join a team focused on delivering business impact through transformation of Data Quality management. The role will require working with stakeholders across the Corporate & Investment Bank, other Lines of Business and Corporate Functions to ensure fit-for-purpose data, looking to leverage best practice across the industry and other J.P. Morgan business units. This role provides an outstanding opportunity for the selected candidate to join a high-profile team at JPMorgan Chase and take a partnership role, supporting one of the Bank’s most significant change programs. As a Data Management Associate within the Chief Data Office, you will play a crucial role in advocating and ensuring top-notch, purpose-specific data. You will have the chance to shape top-tier data management strategies and collaborate with stakeholders across the Corporate and Investment Bank, other Lines of Business, and Corporate Functions. Your role will require demonstrating a robust understanding of data governance, data quality, data lineage, and metadata management concepts. You will offer data quality advisory services on specific high-profile data issues/initiatives through concentrated project management and in-depth business analysis. This role offers an exceptional opportunity to join a high-profile team at JPMorgan Chase and assume a partnership role, supporting one of the Bank's most significant change programs. Job responsibilities: Demonstrate strong understanding of data governance, data quality, data lineage and metadata management concepts Provide data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis Implement and support Data Quality (DQ) practices across the CIB: Leverage data lineage documentation to trace data flows associated with issues Build strong partnerships across CIB sub-LOBs and corporate functions to support data quality efforts Accelerate data quality issue level root cause analysis and resolution through effective program governance, process mapping and data deep-dives Query data-marts/data-stores to extract knowledge and actionable insights to identify root cause of issues Discuss and agree technical resolutions with technology teams to remediate DQ issues Discover and document data-lineage to trace the end-to-end data journey from point of creation to consumption. Set up data profiling and DQ rules leveraging DQ tools like Collibra, Informatica and other emerging tools Leverage productivity tools such as Alteryx and visualization tools such as Tableau/Qlikview to analyze large dataset to draw inferences Required qualifications, capabilities and skills: 7+ years’ experience in Financial Services with Data analytics/Project Management/ Business Analysis background Experience in Data quality, Data lineage and Metadata management Excellent analytical and problem-solving skills. Capacity to think laterally and convey an understanding of the big picture Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts, etc.) Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority across Corporate/Firmwide, Finance, Risk, Compliance, Operations and Technology teams Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard Basic understanding of the company's business practices and familiarity with the company's products and services Preferred qualifications, capabilities and skills: Experience in CIB and CDO/Data Quality organization Experience in querying database/data stores for data analysis. Experience in producing PowerPoint presentations for senior audiences Exposure to tools/technologies such as Alteryx/Tableau/SQL/Informatica/Collibra JPMorgan Chase is an Equal Opportunity and Affirmative Action Employer, M/F/D/V