455 Metadata Management Jobs - Page 19

Job Description BE/B.Tech or equivalent 8~13 years' experience in IT or professional services experience in IT delivery or large-scale IT analytics projects Role requires him/her to design and implement data modeling solutions using relational, dimensional, and NoSQL databases. You will work closely with data architects to design bespoke databases using a mixture of conceptual, physical, and logical data models. What we look for: BE/B.Tech or equivalent The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests. 8+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Experience in team management, communication, and presentation. Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively. Responsibilities Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning). Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models. Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization. Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC. Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks. Required Skills Required Skills - Data Modeling, Dimensional modeling, Data Management, RDBMS, SQL/NoSQL, ETL

Requirements: Bachelor’s degree in computer science, Information Technology, Data Management, Business Administration, or related field. Minimum 8 years of hand-on experience in data governance, data management, preferably in the financial services industry. Strong understanding of data governance principles, frameworks (e.g., DAMA-DMBOK, DCAM) and best practices. Hands-on knowledge of data cataloguing tools (e.g., Collibra, Informatica, Alation etc.), data lineage and data quality Experience of data maturity assessments and familiarity with data modelling and metadata management Collaboration & Communication Strong documentatio n and requirement gatherin g skills to align technical governance with business objectives Skilled in stakeholder managemen t and articulating data governance value to non-technical audiences Experience driving adoption of governance practice s across enterprise functions Personality Traits & Leadership Self-drive n, with the ability to take ownership and lead governance initiatives independently Process-oriented thinke r with a structured approach to problem-solving Proven ability to collaborate across business and technical teams, influence without authority, and drive enterprise-wide initiatives. Strong analytical and problem-solving skills. Nice to Have: Certification in data governance, data management, or a related field (e.g., CDMP, DCAM).

What you’ll do Lead the delivery process – right from discovery/ POC to managing operations, across 3-4 client engagements helping to deliver world-class MDM solutions Ownership to ensure the proposed design/ architecture, deliverables meets the client expectation and solves the business problem with high degree of quality; Partner with Senior Leadership team and assist in project management responsibility i.e. Project planning, staffing management, people growth, etc.; Develop and implement master data management strategies and processes to maintain high-quality master data across the organization. Design and manage data governance frameworks, including data quality standards, policies, and procedures. Outlook for continuous improvement, innovation and provide necessary mentorship and guidance to the team; Liaison with Staffing partner, HR business partners for team building/ planning; Lead efforts for building POV on new technology or problem solving, Innovation to build firm intellectual capital Actively lead unstructured problem solving to design and build complex solutions, tune to meet expected performance and functional requirements; Stay current with industry trends and emerging technologies in master data management and data governance. What You’ll Bring Bachelor's/Master's degree with specialization in Computer Science, MIS, IT or other computer related disciplines; 10-14 years of relevant consulting-industry experience (Preferably Healthcare bad Life Science) working on medium-large scale MDM solution delivery engagements 5+ years of hands-on experience on designing, implementation MDM services & capabilities using tools such as Informatica MDM, Reltio etc Strong understanding of data management principles, including data modeling, data quality, and metadata management. Strong understanding of various cloud based data management (ETL Tools) platforms such as AWS, Azure, Snowflake etc.,; Experience in designing and driving delivery of mid-large-scale solutions on Cloud platforms; Experience with ETL design and development, and (OLAP) tools to support business applications Additional Skills Ability to manage a virtual global team environment that contributes to the overall timely delivery of multiple projects; Knowledge of current data modeling, and data warehouse concepts, issues, practices, methodologies, and trends in the Business Intelligence domain; Experience with analyzing and troubleshooting the interaction between databases, operating systems, and applications; Significant supervisory, coaching and hands-on project management skills; Willingness to travel to other global offices as needed to work with client or other internal project teams.

Job Posting TitleSR. DATA ENGINEER Band/Level5-2-C--C Education ExperienceBachelors Degree (High School +4 years) Employment Experience5-7 years At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Responsible for designing and establishing the solution architecture for analytical platforms and/or data-enabled solutions.Has broad understanding of the entire data and analytics eco-system of tools and technologies, with hands-on experience across all three core data domains of data science, data engineering, and data visualization. Responsible for fleshing out the details of the end-to-end component architecture being implemented by the team. Contributes to the team's development velocity, if necessary. Understands how an organization's data platform integrates within the overall technical architecture. Understands the business purpose the role fulfills, and the roadmap for the lifecycle of an organization's systems. Sets the direction and establishes the approach for integrating information applications and programs. Roles & Responsibilities Key Responsibilities Architect, design, and build scalable data architectures, pipelines, and data products (Databricks, AWS). Design and develop enterprise data models; manage the full data life cycle. Extract, transform, and integrate data from SAP ECC/S4HANA and other non-SAP environments. Build solutions for real-time, streaming, and batch data workloads. Define and implement data security, governance, and compliance standards. Adapt and implement data quality and observability practices. Perform performance tuning and cost optimization. Support Operations teams in day-to-day business needs. Collaborate with business and technical teams to understand requirements and deliver scalable data architecture solutions. Desired Candidate Experience: Minimum 5 + years in data architecture/data engineering roles. Proven success in large-scale data environments : Delta Lake & Medallion Architecture DLT Pipelines PySpark Workbooks Spark SQL & SQL Warehouse Unity Catalog (data governance, lineage) Genie (query performance, indexing) Security & Role-Based Access Control BonusMLflow knowledge ER & Dimensional modeling Metadata management Python, SQL, PySpark S3, Lambda, EMR, Redshift, Bedrock Databricks Lakehouse platform : Data Modeling: Programming AWS Cloud Services: Competencies

Job Summary: We are seeking an experienced senior Data Governance Executive to join the Chief Data Office. The individual will closely work with the Data Governance Lead to help with the development, implementation, and maintenance of our data governance framework, policies, and procedures across the organization. The Senior Data Governance Executive will work closely with data owners, stewards, technology teams, and business stakeholders to establish and enforce data standards, policies, and best practices that aligns with industry best practices and regulatory requirements. Key Responsibilities: 1. Develop and Implement Data Governance Framework: Develop and maintain or contribute to a data governance framework that includes data standards, data quality rules, metadata management, and data stewardship practices and guidelines. Act as a bridge between the enterprise Data Office and the divisional /business data governance stakeholders Partner with the business functions to drive data maturity assessments and remediation plans. 2. Data Quality and Integrity: Develop and implement data quality metrics and monitoring processes to ensure data accuracy, completeness, and consistency. Collaborate with data owners and stewards to identify and address data quality issues. Ensure that data governance practices align with regulatory requirements Collaborate with the information security team to ensure that data security controls are in place and effective. 4. Data Stewardship: Identify and appoint data stewards to oversee specific data assets and ensure that they understand their roles and responsibilities. Provide training and support to data stewards to ensure that they can effectively manage and maintain data assets. 5. Metadata and Lineage Management: Guide adoption and optimization of data governance tools like OpenMetadata Implement processes for capturing metadata, data lineage, and usage across key data assets Identify and document business data definitions (business glossary) and ownership including classification of data. 6. Reporting and Monitoring: Define and track KPIs for data governance performance and communicate progress to executive leadership. 7. Collaboration and Communication: Collaborate with business leaders, data owners, and IT teams to ensure that data governance requirements are integrated into business processes and systems. Communicate data governance policies, procedures, and issues to stakeholders through various channels (e.g., training, newsletters, meetings). Requirements: Bachelor’s degree in computer science, Information Technology, Business Administration, or related field. Minimum 5 years of experience in data governance, data management, preferably in the financial services industry. Strong understanding of data governance principles, frameworks (e.g., DAMA-DMBOK, DCAM) and best practices. Hands-on knowledge of data cataloguing tools (e.g., Collibra, Informatica, Alation etc.), data lineage and data quality Experience of data maturity assessments and familiarity with data modelling and metadata management Collaboration & Communication Strong documentatio n and requirement gatherin g skills to align technical governance with business objectives Skilled in stakeholder managemen t and articulating data governance value to non-technical audiences Experience driving adoption of governance practice s across enterprise functions Personality Traits & Leadership Self-drive n, with the ability to take ownership and lead governance initiatives independently Process-oriented thinke r with a structured approach to problem-solving Proven ability to collaborate across business and technical teams, influence without authority, and drive enterprise-wide initiatives. Strong analytical and problem-solving skills. Nice to Have: Certification in data governance, data management, or a related field (e.g., CDMP, DCAM).