31 Alation Jobs

As a Partner Solution Engineer at Snowflake, you will play a crucial role in technically onboarding and enabling partners to re-platform their Data and AI applications onto the Snowflake AI Data Cloud. Collaborating with partners to develop Snowflake solutions in customer engagements, you will work with them to create assets and demos, build hands-on POCs, and pitch Snowflake solutions. Additionally, you will assist Solution Providers/Practice Leads with the technical strategies that enable them to sell their offerings on Snowflake. Your responsibilities will include keeping partners up to date on key Snowflake product updates and future roadmaps to help them represent Snowflake to their clients about the latest technology solutions and benefits. Running technical enablement programs to provide best practices and solution design workshops to help partners create effective solutions will also be part of your role. Success in this position will require you to drive strategic engagements by quickly grasping new concepts and articulating their business value. You will showcase the impact of Snowflake through compelling customer success stories and case studies, demonstrating a strong understanding of how partners make revenue through the industry priorities and complexities they face. Preferred skill sets and experiences for this role include having a total of 10+ years of relevant experience, experience working with Tech Partners, ISVs, and System Integrators (SIs) in India, and developing data domain thought leadership within the partner community. You should also have presales or hands-on experience with Data Warehouse, Data Lake, or Lakehouse platforms, as well as experience with partner integration ecosystems like Alation, FiveTran, Informatica, dbtCloud, etc. Having hands-on experience and strong knowledge of Docker and how to containerize Python-based applications, knowledge of Container networking and Kubernetes, and proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD), including DataOps and MLops are desirable skills. Experience in the AI/ML domain is a plus. Snowflake is rapidly expanding, and as part of the team, you will help enable and accelerate the company's growth. If you share Snowflake's values, challenge ordinary thinking, and push the pace of innovation while building a future for yourself and Snowflake, this role could be the perfect fit for you. Please visit the Snowflake Careers Site for salary and benefits information if the job is located in the United States.,

You should have a Bachelor's or Master's degree in computer/data science or related field, or equivalent technical experience. With a minimum of 7 years of hands-on experience in relational, dimensional, and/or analytic data modeling. Your expertise should include a strong command of SQL and practical experience working with databases such as Oracle, PostgreSQL, Snowflake, and Teradata. Your responsibilities will involve hands-on activities like modeling, design, configuration, installation, performance tuning, and sandbox Proof of Concept (POC). Proficiency in metadata management, data modeling, and related tools such as Erwin or ER Studio is essential. You should be experienced in data modeling, ER diagramming, and designing enterprise software for OLTP (relational) and analytical systems. It is crucial that you possess a solid understanding of data modeling principles, standard methodologies, semantic data modeling concepts, and multi-Fact models. You must be capable of defining data modeling standards, guidelines, and assisting teams in implementing complex data-driven solutions at a large scale globally. Your experience should also include supporting history handling, time series data warehousing, and data transformations through data modeling activities. Additionally, you should have the ability to quickly comprehend technological and business concepts, key domain entities, and communicate effectively with engineers, architects, and product management teams. Your role will involve assessing the accuracy, completeness, and consistency of data models while ensuring the maintenance of relevant documentation. Experience with data cataloging tools like Alation and Collibra to drive data lineage is preferred. A strong understanding of data governance processes and metadata repositories is also expected. You should be comfortable working in a fast-paced environment with short release cycles and an iterative development methodology, handling multiple projects simultaneously with minimal specifications. Having knowledge of Python and experience with Informatica would be considered advantageous for this position. Your excellent communication and documentation skills will be essential in this role.,

As an ideal candidate for this role, you should have 1-9 years of experience in data governance frameworks, master data management principles, policies, and compliance. Your primary responsibility will be to resolve data quality issues efficiently. Your technical expertise should include a strong proficiency in SQL and hands-on experience with data governance tools such as Collibra, Alation, and Informatica. This position is focused on the safety, health, environmental, or risk management & reporting domains, specifically in the Petro-technical field. Therefore, a background in Geology, Geophysics, Geosciences, or Petroleum Engineering would be highly beneficial for this role.,

Required Qualifications 10+ years in analytics or data-engineering delivery, including 3 years leading enterprise programs. Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and modern orchestration (Airflow, dbt). Demonstrated experience managing multi-million-dollar budgets and P&L accountability. Strong SQL and Python (or Scala/Java) skills. Exceptional communication and presentation skills comfortable with C-suite and technical audiences. Bachelors or masters in computer science, Engineering, Information Systems, or related field. Nice-to-Have Certified in Agile (Scrum), PMP, or Cloud Architecture. Experience with data-governance tools (Collibra, Alation) and MLOps frameworks. Prior consulting or managed-services background. Proven track record in RFP response leadership and crafting successful sales pitches. Familiarity with infrastructure as code (Terraform, CloudFormation).

Our client is a global IT services company with offices in India and the United States, specializing in digital transformation, IT collaborations, and utilizing technology to make a positive impact on businesses. They are currently seeking an experienced Informatica Architect to join their team. As an Informatica Architect, you will be responsible for leading data governance, data catalog, and data quality efforts. With over 7 years of expertise in data quality and data cataloging, you will work closely with the Data & Analytics lead to ensure the integrity and quality of critical data within the product. Your role will involve developing efficient data processes using tools such as Informatica, Alation, Altan, or Collibra. Key responsibilities include overseeing the data elements of a complex product catalog, designing and developing data catalog and data assets on leading tools, managing the Enterprise Glossary, configuring data catalog resources, implementing Critical Data Elements, and ensuring compliance with Data Governance Standards. The ideal candidate will have 7-8 years of enterprise IICS data integration and management experience, along with practical experience configuring data governance resources and hands-on experience with Informatica CDQ and Data Quality. A strong understanding of data quality, data cataloging, and data governance best practices is essential. Preferred qualifications include administration and management of Collibra/Alation data catalog tool, configuration of data profiling and data lineage, and working with Data Owners and stewards to understand catalog requirements. If you have the required qualifications and experience, we invite you to apply online through our portal or via email at careers@speedmart.co.in. Join us in driving digital transformation and making a difference in the world of business.,

As a Catalogue Technical Specialist/Analyst, you will be responsible for supporting the technical integration efforts of Alation into other enterprise systems that may contain critical data lineage or data quality information. Your daily tasks will include providing operational support for the integration catalog, managing active directory roles, maintaining integrations, and enhancing capabilities. Collaborating with Integration owners, you will identify, define, and capture integration and other key data within the integration catalog. Your role will also involve optimizing integration descriptions, keywords, and categories for effective search and discovery, as well as resolving issues related to the integration catalog promptly. Maintaining the data catalog to ensure accurate and up-to-date metadata for all data assets will be a crucial part of your responsibilities. You will establish and enforce data quality standards and guidelines across the organization, conducting regular data quality assessments and audits to address any data issues that arise. Additionally, you will act as a point of contact for data catalog-related inquiries, providing timely resolutions. Generating reports and dashboards to offer insights into data catalog usage, data quality, and metadata completeness will be an essential aspect of your role. You will also monitor and analyze data quality metrics to identify and resolve any anomalies or discrepancies, analyzing metadata to identify trends, patterns, and areas for improvement. Your experience as a self-directed individual with over 3 years of experience in integration, data & analytics, or related roles will be beneficial for this position. Experience in integration design and development on IPaaS platforms, DevOps, and CI/CD approach for integration deployment is preferred. Hands-on experience with catalog tools such as Alation or similar, as well as integrating with the ServiceNow platform, will be advantageous. Moreover, your proven experience in implementing and managing data lineage, catalog, or other solutions in complex enterprise environments, along with expertise in databases, business intelligence tools, and ETL tools, will be valuable. A strong understanding of data catalogs and their capabilities, including data dictionaries, business glossaries, business lineage, technical lineage, and data management workflows, is essential for this role. Understanding multiple system integrations, data flow, and data schema changes will also be part of your responsibilities. In summary, as a Catalogue Technical Specialist/Analyst, you will play a pivotal role in ensuring the smooth integration of Alation into various enterprise systems, maintaining data quality standards, and providing support for data catalog-related activities to enhance organizational data management practices.,

As an expert in AI, Data Governance, and Metadata Management, you will play a key role in architecting, implementing, and maintaining enterprise data governance processes. Your responsibilities will include designing and implementing data quality management, metadata standardization, and stewardship processes across various data domains. You will be tasked with creating and enforcing data governance rules, setting up operational models, and managing stakeholder alignment across IT, legal, compliance, and business teams. Additionally, you will be responsible for supporting compliance with regulations such as GDPR, HIPAA, CCPA, and Indian regulations under the Digital Personal Data Protection Act. You will lead the technical team in delivering roadmap milestones, monitoring Data Governance Key Performance Indicators (KPIs), and guiding the adoption of governance tools and processes. To excel in this role, you should have 7-15 years of experience in Data Governance, Data Quality, or Metadata Management roles. Hands-on experience with key Data Governance platforms such as Collibra, Informatica, and Alation is essential. Strong technical skills in scripting (Python, SQL), metadata/configure pipelines, automation, data engineering, and ETL/ELT flows are required. Experience in establishing and monitoring data quality metrics, conducting data profiling, audits, and root-cause analysis is crucial. Moreover, familiarity with cloud environments and integration practices (AWS, Snowflake, databases), understanding of SDLC, Agile methods, Jira/Confluence, DevOps, and data platform operations are necessary. Exceptional stakeholder management, communication, and leadership abilities are vital for coordinating cross-functional teams. Educating stakeholders through workshops, training, and governance councils, as well as managing governance awareness campaigns, will be part of your responsibilities. Joining Narwal offers you the opportunity to shape the future of a rapidly growing company. You will enjoy a competitive salary and benefits package, a supportive and inclusive company culture, and a collaborative and innovative work environment. Access to professional development and growth opportunities is provided, and Narwal is certified as a Great Place to Work. Narwal is an equal opportunity employer that celebrates diversity and is dedicated to creating an inclusive environment for all employees. To learn more, please visit: [Narwal Website](https://www.narwalinc.com/).,

We are looking for an experienced Data Governance Architect with deep expertise in Alation and Azure cloud platforms. This role involves partnering with senior stakeholders to define and champion an enterprise data catalog and dictionary strategy, oversee the entire lifecycle of the data catalog from establishing metadata standards and initial MVPs to executing full-scale enterprise rollouts. You should have at least 10 years of experience in data governance and proven expertise in the Alation tool on the Azure platform. Understanding of the Snowflake platform is also required. Additionally, you should have proven expertise in at least two areas such as Data Governance Operating Models, Metadata Management, Data Cataloging, Data Lineage, or Data Quality. A deep understanding of governance frameworks such as DAMA or DCAM, with practical implementation experience, is essential. In this role, you will be responsible for assessing current cataloging and dictionary capabilities, identifying gaps, and developing actionable roadmaps to enrich metadata quality, accelerate catalog population, and drive adoption. You will also need to identify different data personas using the data catalog and design persona-specific playbooks to promote adoption. Your responsibilities will include designing, deploying, and managing scalable data catalog and dictionary solutions using platforms like Alation. Understanding of leading Data Governance tools like Collibra and Purview will be beneficial. You will oversee the entire lifecycle of the data catalog, from establishing metadata standards and initial MVPs to executing full-scale enterprise rollouts. Furthermore, you will define architecture and best practices for metadata management to ensure consistency, scalability, and sustainability of the catalog and dictionary. You will identify and catalog critical data elements by capturing clear business terms, glossaries, KPIs, lineage, and persona-specific guides to build a trusted, comprehensive data dictionary. Developing and enforcing policies to maintain metadata quality, manage access, and protect sensitive information within the catalog will be part of your responsibilities. You will need to implement robust processes for catalog population, including automated metadata ingestion, leveraging APIs, glossary management, lineage tracking, and data classification. Moreover, you will develop a workflow management approach to notify changes to certified catalog content to stewards. Creating reusable frameworks and templates for data definitions and best practices to streamline catalog adoption across teams will also be expected from you.,

Catalogue Technical Specialist/Analyst Support the technical integration efforts of Alation to other enterprise systems which could contain critical data lineage or data quality information Provide daily operational support of the integration catalog including active directory role management, maintaining integrations, and capability enhancements Collaborate with Integration owners to identify, define, and capture integration and other key data inside the integration Catalog Optimize Integration descriptions, keywords, and categories for search and discovery Resolve issues related to integration catalogue in a timely manner Maintain the data catalog, ensuring accurate and up-to-date metadata for all data assets Establish and enforce data quality standards and guidelines across the organization Conduct regular data quality assessments and audits to identify and resolve data issues Act as a point of contact for data catalog-related inquiries and provide timely resolutions Generate reports and dashboards to provide insights into data catalog usage, data quality, and metadata completeness Monitor and analyze data quality metrics to identify and address issues, anomalies, and discrepancies Analyze metadata to identify trends, patterns, and areas for improvement Validate and verify integration information to ensure accuracy, completeness, and reliability Maintain documentation related to the catalog, lineage data quality tools, including user guides, best practices, and standard operating procedures Experience: Self-directed individual with 3+ years of experience working in integration, data analytics, or related roles, ideally in a high-growth environment Experience in integration design and development on IPaaS platforms Experience in DevOps and CI/CD approach for integration deployment Hands-on experience with the design, configuration or roll-out of catalog tools such as Alation or similar Experience in integrating with ServiceNow platform for creating CI's for driving change management and incident management Proven experience in implementing and managing data lineage, catalog, or other solutions in complex enterprise environments Experience working with databases, business intelligence (BI) tools, and ETL (Extract, Transform, Load) tools Strong understanding of data catalogs and their respective capabilities including data dictionaries, business glossaries, business lineage, technical lineage, and data management workflows Understand multiple system integrations/flow of data, and data schema changes

As an integral part of American Airlines Tech Hub in Hyderabad, India, you will have the opportunity to contribute to the innovative and tech-driven environment that shapes the future of travel. Your role will involve collaborating with source data application teams and product owners to develop and support analytics solutions that provide valuable insights for informed decision-making. By leveraging Azure products and services such as Azure Data Lake Storage, Azure Data Factory, and Azure Databricks, you will be responsible for implementing data migration and engineering solutions to enhance the airline's digital capabilities. Your responsibilities will encompass various aspects of the development lifecycle, including design, cloud engineering, data modeling, testing, performance tuning, and deployment. Working within a DevOps team, you will have the chance to take ownership of your product and contribute to the development of batch and streaming data pipelines using cloud technologies. Adherence to coding standards, best practices, and security guidelines will be crucial as you collaborate with a multidisciplinary team to deliver technical solutions effectively. To excel in this role, you should have a Bachelor's degree in a relevant technical discipline or equivalent experience, along with a minimum of 1 year of software solution development experience using agile methodologies. Proficiency in SQL for data analytics and prior experience with cloud development, particularly in Microsoft Azure, will be advantageous. Preferred qualifications include additional years of software development and data analytics experience, as well as familiarity with tools such as Azure EventHub, Azure Power BI, and Teradata Vantage. Your success in this position will be further enhanced by expertise in the Azure Technology stack, practical knowledge of Azure cloud services, and relevant certifications such as Azure Development Track and Spark Certification. A combination of development, administration, and support experience in various tools and platforms, including scripting languages, data platforms, and BI analytics tools, will be beneficial for your role in driving data management and governance initiatives within the organization. Effective communication skills, both verbal and written, will be essential for engaging with stakeholders across different levels of the organization. Additionally, your physical abilities should enable you to perform the essential functions of the role safely and successfully, with or without reasonable accommodations as required by law. At American Airlines, diversity and inclusion are integral to our workforce, fostering an inclusive environment where employees can thrive and contribute to the airline's success. Join us at American Airlines and embark on a journey where your technical expertise and innovative spirit will play a pivotal role in shaping the future of travel. Feel free to be yourself as you contribute to the seamless operation of the world's largest airline, caring for people on life's journey.,

We are seeking an experienced Data Governance Architect with specialized knowledge in Alation and Azure cloud platforms. In this role, you will collaborate with senior stakeholders to establish and advocate for an enterprise data catalog and dictionary strategy. Your responsibilities will encompass overseeing the complete data catalog lifecycle, from defining metadata standards and initial MVPs to executing large-scale enterprise rollouts. To qualify for this position, you should have over 10 years of experience in data governance and demonstrate proficiency in Alation tool on Azure platform. Additionally, familiarity with the Snowflake platform is required. Expertise in at least two of the following areas is essential: Data Governance Operating Models, Metadata Management, Data Cataloging, Data Lineage, or Data Quality. A deep understanding of governance frameworks like DAMA or DCAM, along with practical implementation experience, is crucial. As a Data Governance Architect, you must possess strong capabilities in conducting maturity assessments, gap analyses, and delivering strategic roadmaps. Excellent communication skills are necessary for articulating complex topics clearly and producing precise documentation. Key Responsibilities: - Evaluate existing cataloging and dictionary capabilities, identify gaps, and create roadmaps to enhance metadata quality, speed up catalog population, and foster adoption. - Recognize various data personas utilizing the data catalog and develop persona-specific playbooks to encourage adoption. - Plan, implement, and supervise scalable data catalog and dictionary solutions using platforms such as Alation. - Comprehend leading Data Governance tools like Collibra and Purview. - Supervise the entire data catalog lifecycle, including setting metadata standards, developing initial MVPs, and executing large-scale enterprise rollouts. - Define architecture and best practices for metadata management to ensure catalog and dictionary consistency, scalability, and sustainability. - Identify and categorize critical data elements by documenting clear business terms, glossaries, KPIs, lineage, and persona-specific guides to construct a reliable data dictionary. - Establish and enforce policies to uphold metadata quality, regulate access, and safeguard sensitive information within the catalog. - Implement robust processes for catalog population through automated metadata ingestion, API utilization, glossary management, lineage tracking, and data classification. - Create a workflow management approach to notify stewards of changes to certified catalog content. - Develop reusable frameworks and templates for data definitions and best practices to streamline catalog adoption across teams.,

As an Engineer, IT Data at American Airlines, you will be part of a diverse and high-performing team dedicated to technical excellence. Your main focus will be on delivering unrivaled digital products that drive a more reliable and profitable airline. The Data Domain you will be working in refers to the area within Information Technology that focuses on managing and leveraging data as a strategic asset. This includes data management, storage, integration, and governance, leaning into Machine Learning, AI, Data Science, and Business Intelligence. In this role, you will work closely with source data application teams and product owners to design, implement, and support analytics solutions that provide insights to make better decisions. You will be responsible for implementing data migration and data engineering solutions using Azure products and services such as Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc., as well as traditional data warehouse tools. Your responsibilities will involve multiple aspects of the development lifecycle including design, cloud engineering, ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, and production support. You will provide technical leadership, collaborate within a team environment, and work independently. Additionally, you will be part of a DevOps team that completely owns and supports the product, implementing batch and streaming data pipelines using cloud technologies. As an essential member of the team, you will lead the development of coding standards, best practices, privacy, and security guidelines. You will also mentor others on technical and domain skills to create multi-functional teams. Your success in this role will require a Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training. To excel in this position, you should have at least 3 years of software solution development experience using agile, DevOps, and operating in a product model. Moreover, you should have 3+ years of data analytics experience using SQL and cloud development and data lake experience, preferably with Microsoft Azure. Preferred qualifications include 5+ years of software solution development experience, 5+ years of data analytics experience using SQL, 3+ years of full-stack development experience, and familiarity with Azure technologies. Additionally, skills, licenses, and certifications required for success in this role include expertise with the Azure Technology stack, practical direction within Azure Native cloud services, Azure Development Track Certification, Spark Certification, and a combination of Development, Administration & Support experience with various tools/platforms such as Scripting (Python, Spark, Unix, SQL), Data Platforms (Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake), Azure Cloud Technologies, CI/CD tools (GitHub, Jenkins, Azure DevOps, Terraform), BI Analytics Tool Stack (Cognos, Tableau, Power BI, Alteryx, Denodo, Grafana), and Data Governance and Privacy tools (Alation, Monte Carlo, Informatica, BigID). Join us at American Airlines, where you can explore a world of possibilities, travel the world, grow your expertise, and become the best version of yourself while contributing to the transformation of technology delivery for our customers and team members worldwide.,

Key Responsibilities: Lead the configuration and implementation of the Collibra Data Intelligence Platform to support data governance, data cataloging, and data quality initiatives. Collaborate with data stewards, business users, and technical teams to gather requirements and translate them into Collibra workflows and configurations. Define and manage data domains, assets, glossaries, business rules, and operating models in Collibra. Develop and maintain Collibra workflows using BPMN and support custom integrations via Collibra Connect or APIs. Perform user onboarding, role/permission management, and training sessions. Integrate Collibra with upstream/downstream systems such as data warehouses, ETL tools, BI platforms, and metadata sources. Support the ongoing maintenance, troubleshooting, and upgrades of the Collibra platform. Ensure alignment of Collibra implementation with enterprise data governance policies and compliance requirements (GDPR, CCPA, etc.). Provide documentation and best practices related to Collibra configuration, taxonomy, and workflows. Track and report key metrics on data governance maturity and platform usage. Qualifications and Requirements: Bachelor's degree in Information Systems, Computer Science, Data Management, or related field. 3+ years of hands-on experience working with Collibra Data Intelligence Platform . Strong understanding of data governance principles, metadata management, data lineage, and data stewardship. Experience with Collibra operating models , asset modeling, and workflow development using BPMN. Familiarity with Collibra Connect , REST APIs, and integration frameworks. Experience integrating Collibra with other tools like Informatica, Alation, Tableau, Snowflake, or cloud data platforms. Strong communication and stakeholder engagement skills. Ability to work independently and in cross-functional teams.

You will have a pivotal role in implementing and embracing the data governance framework at Amgen, which aims to revolutionize the company's data ecosystem and establish Amgen as a pioneer in biopharma innovation. This position will make use of cutting-edge technologies such as Generative AI, Machine Learning, and integrated data. Your expertise in domains, technical knowledge, and business processes will be crucial in providing exceptional support for Amgen's data governance framework. Collaboration with business stakeholders and data analysts will be essential to ensure successful implementation and adoption of the data governance framework. Working closely with the Product Owner and other Business Analysts will be necessary to guarantee operational support and excellence from the team. You will be responsible for the implementation of the data governance and data management framework within a specific domain of expertise, such as Research, Development, or Supply Chain. Operationalizing the Enterprise data governance framework and aligning a broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, master data management, data sharing, communication, and change management will be part of your responsibilities. Collaborating with Enterprise MDM and Reference Data to enforce standards and data reusability will also be key. You will drive cross-functional alignment in your area of expertise to ensure adherence to Data Governance principles and maintain privacy policies and procedures to safeguard sensitive data and ensure compliance. Regular privacy risk assessments and audits will be conducted by you to identify and mitigate potential risks as required. Furthermore, you will be responsible for maintaining documentation on data definitions, data standards, data flows, legacy data structures, common data models, and data harmonization for the assigned domains. Ensuring compliance with data privacy, security, and regulatory policies for the assigned domains, including GDPR, CCPA, and other relevant legislations, will be critical. Together with Technology teams, business functions, and enterprise teams, you will define the specifications shaping the development and implementation of data foundations. Building strong relationships with key business leads and partners to ensure their needs are met will also be part of your role. Your must-have functional skills include technical knowledge of Pharma processes with specialization in a domain, in-depth understanding of data management, data quality, master data management, data stewardship, data protection, and familiarity with data protection laws and regulations. You should have experience in the development life cycle of data products and proficiency in tools like Collibra and Alation. Strong problem-solving skills, excellent communication, and working with data governance frameworks are essential. Experience with data governance councils, Agile software development methodologies, proficiency in data analysis and quality tools, and 3-5 years of experience in data privacy or compliance are good-to-have functional skills. Soft skills required for this role include integrity, adaptability, proactivity, leadership, organization, analytical skills, ability to work effectively with teams, manage multiple priorities, ambition to develop skills and career, build business relationships, understand end-to-end data use and needs, interpersonal skills, initiative, self-motivation, presentation skills, attention to detail, time management, and customer focus. Basic qualifications for this position include any Degree and 9-13 years of experience.,

Join us as a Data Engineer at Barclays, where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. To be successful as a Data Engineer, you should have experience with hands-on experience in Pyspark and a strong knowledge of Dataframes, RDD, and SparkSQL. You should also have hands-on experience in developing, testing, and maintaining applications on AWS Cloud. A strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena) is essential. Additionally, you should be able to design and implement scalable and efficient data transformation/storage solutions using Snowflake. Experience in data ingestion to Snowflake for different storage formats such as Parquet, Iceberg, JSON, CSV, etc., is required. Familiarity with using DBT (Data Build Tool) with Snowflake for ELT pipeline development is necessary. Advanced SQL and PL SQL programming skills are a must. Experience in building reusable components using Snowflake and AWS Tools/Technology is highly valued. Exposure to data governance or lineage tools such as Immuta and Alation is an added advantage. Knowledge of Orchestration tools such as Apache Airflow or Snowflake Tasks is beneficial, and familiarity with Abinitio ETL tool is a plus. Some other highly valued skills may include the ability to engage with stakeholders, elicit requirements/user stories, and translate requirements into ETL components. A good understanding of infrastructure setup and the ability to provide solutions either individually or working with teams is essential. Knowledge of Data Marts and Data Warehousing concepts, along with good analytical and interpersonal skills, is required. Implementing Cloud-based Enterprise data warehouse with multiple data platforms along with Snowflake and NoSQL environment to build data movement strategy is also important. You may be assessed on key critical skills relevant for success in the role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills. The role is based out of Chennai. Purpose of the role: To build and maintain the systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities: - Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete, and consistent data. - Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. - Development of processing and analysis algorithms fit for the intended data complexity and volumes. - Collaboration with data scientists to build and deploy machine learning models. Analyst Expectations: - Meet the needs of stakeholders/customers through specialist advice and support. - Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles. - Likely to have responsibility for specific processes within a team. - Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources. - Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. - Manage own workload, take responsibility for the implementation of systems and processes within own work area and participate in projects broader than the direct team. - Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams. - Provide specialist advice and support pertaining to own work area. - Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. - Deliver work and areas of responsibility in line with relevant rules, regulations, and codes of conduct. - Maintain and continually build an understanding of how all teams in the area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams. - Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative/operational expertise. - Make judgements based on practice and previous experience. - Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures. - Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day-to-day administrative requirements. - Build relationships with stakeholders/customers to identify and address their needs. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.,

Job Summary: We are seeking an experienced Azure Data Governance Specialist to design, implement, and manage data governance frameworks and infrastructure across Azure-based platforms. The ideal candidate will ensure enterprise data is high-quality, secure, compliant, and aligned with business and regulatory requirements. This role combines deep technical expertise in Azure with a strong understanding of data governance principles, MDM, and data quality management. Key Responsibilities: Data Governance & Compliance: Design and enforce data governance policies, standards, and frameworks aligned with enterprise objectives and compliance requirements (e.g., GDPR, HIPAA). Master Data Management (MDM): Implement and manage MDM strategies and solutions within the Azure ecosystem to ensure consistency, accuracy, and accountability of key business data. Azure Data Architecture: Develop and maintain scalable data architecture on Azure (e.g., Azure Data Lake, Synapse, Purview, Alation, Anomalo) to support governance needs. Tooling & Automation: Deploy and manage Azure-native data governance tools such as Azure Purview, Microsoft Fabric, and Data Factory to classify, catalog, and monitor data assets including third party tools like Alation. Data Quality (DQ): Lead and contribute to Data Quality forums, establish DQ metrics, and integrate DQ checks and dashboards within Azure platforms. Security & Access Management: Collaborate with security teams to implement data security measures, role-based access controls, and data encryption in accordance with Azure best practices. Technical Leadership: Guide teams in best practices for designing data pipelines, metadata management, and lineage tracking with Azure tooling. Continuous Improvement: Drive improvements in data management processes and tooling to enhance governance efficiency and compliance posture. Mentorship & Collaboration: Provide technical mentorship to data engineers and analysts, promoting data stewardship and governance awareness across the organization. Qualifications: Education: Bachelors degree in Computer Science, Information Systems, or a related field. Experience: 8+ years of experience in data infrastructure and governance, with 3+ years focused on Azure data services and tools. Technical Skills: Proficiency with data governance tools: Alation, Purview, Synapse, Data Factory, Azure SQL, etc. Strong understanding of data modeling (conceptual, logical, and physical models). Experience with programming languages such as Python, C#, or Java. In-depth knowledge of SQL and metadata management. Leadership: Proven experience leading or influencing cross-functional teams in data governance and architecture initiatives. Certifications (preferred): Azure Data Engineer Associate, Azure Solutions Architect Expert, or Azure Purview-related certifications.

OCI Data Catalog Oracle Cloud Infrastructure (OCI) Metadata Management Data Lineage Data Classification Data Stewardship Data Governance Cloud Data Integration Oracle Autonomous Database Oracle Object Storage PoC Delivery (Proof of Concept) Cloud Data Management SQL ETL Tools (e.g., Oracle Data Integrator, Informatica, etc.) Data Catalog Tools (e.g., Collibra, Alation, Azure Purview for comparative experience) On-premise to Cloud Integration API Integration (for metadata harvesting)

Data Governance Lead About the Role: We are seeking an experienced Data Governance lead to join our team. In this role, you will be responsible for defining and implementing the data governance strategy. The role involves establishing metadata standards, defining attribute ownership models, ensuring regulatory compliance, and improving data quality and trust across the enterprise. Responsibilities: Define and implement enterprise-wide data governance framework Own the metadata catalog and ensure consistency across business and technical assets Develop and manage KPI registries, data dictionaries, and lineage documentation Collaborate with data stewards and domain owners to establish attribute ownership Lead efforts around data standardization, quality rules, and classification of sensitive data Ensure privacy and compliance (e.g., GDPR, PII, PHI) by enforcing tagging, masking, and access rules Define access control rules (purpose-based views, user roles, sensitivity levels) Oversee governance for data products and federated data domains Support internal audits and external regulatory reviews Coordinate with platform, analytics, security, and compliance teams Qualifications: Bachelor's or Master's degree in Computer Science, or a related technical field 10+ years of experience in data governance roles Experience integrating governance with modern data stacks (e.g.Data bricks, Snowflake) Strong experience in data governance tools (e.g., Alation, Unity Catalog ,Azure Purview,) Proven understanding of metadata management, data lineage, and data quality frameworks Experience in implementing federated governance models and data stewardship programs Knowledge of compliance requirements (GDPR, HIPAA,PII, etc.) Familiarity with data mesh principles and data contract approaches Excellent communication and stakeholder management skills Certification in data governance or management frameworks

As an American Airlines team member in the Tech Hub in Hyderabad, India, you will have the opportunity to be part of a diverse, high-performing team dedicated to technical excellence. Your primary focus will be on delivering unrivaled digital products that drive a more reliable and profitable airline. The Data Domain you'll be working in is centered around managing and leveraging data as a strategic asset, including data management, storage, integration, and governance, with a strong emphasis on Machine Learning, AI, Data Science, and Business Intelligence. In this role, you will work closely with source data application teams and product owners to design, implement, and support analytics solutions that provide valuable insights for better decision-making. You will be responsible for implementing data migration and data engineering solutions using Azure products and services such as Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, and more, as well as traditional data warehouse tools. Your responsibilities will include various aspects of the development lifecycle, such as design, cloud engineering, data modeling, testing, performance tuning, deployments, BI, alerting, and production support. You will collaborate within a team environment and independently to develop technical solutions. As part of a DevOps team, you will have ownership and support for the product you work on, implementing both batch and streaming data pipelines using cloud technologies. To be successful in this role, you should have a Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems, or a related technical discipline, or equivalent experience. You should have at least 1+ years of software solution development experience using agile, DevOps, and data analytics experience using SQL. Experience with cloud development and data lake technologies, particularly in Microsoft Azure, is preferred. Preferred qualifications include additional years of experience in software solution development, data analytics, full-stack development, and specific experience with Azure technologies. Skills in scripting languages like Python, Spark, Unix, SQL, as well as expertise with the Azure Technology stack and various data platforms and BI Analytics tools are highly valued. Certifications such as Azure Development Track and Spark are preferred. Effective communication skills are essential for this role, as you will need to collaborate with team members at all levels within the organization. Physical abilities are also necessary to perform the essential functions of the position safely. American Airlines values inclusion and diversity, providing a supportive environment for all team members to reach their full potential. If you are ready to be part of a dynamic, tech-driven environment where your creativity and strengths are celebrated, join American Airlines in Hyderabad and immerse yourself in the exciting world of technological innovation. Feel free to be yourself and contribute to keeping the largest airline in the world running smoothly as we care for people on life's journey.,

A Day in the Life Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes. Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities. This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction. Responsibilities may include the following and other duties may be assigned. Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise-wide data governance and data management initiatives supporting the delivery of data as a service Provide Data Governance and Data Management advisory expertise Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements Responsible for the assessment and selection of Data Management tools landscape including: data profiling, data quality, metadata, MDM, rules engines, and pattern matching Refine and develop the data-centric approach and methodologies which may include areas such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements Identify opportunities for new workflows, third party glossary/metadata tools, database architectures, and third-party pre-existing data models. Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed Help define data modeling naming standards, abbreviations, guidelines, and best practices Enhance or design data model review processes based on business requirements Minimum Qualification: At least 5 years of experience developing / structuring an enterprise wide data governance organization and business process (operating models, roles, partner organizations, responsibilities) Hands-on experience with both the business side and IT side implementing or supporting an MDM and/or Data Warehouse and Reporting IT solutions Utilize strong business knowledge of the investment management industry and common data management operations Broad understanding of the role of data management within global markets organizations, information flow, and data governance issues Domain expertise in specific areas of Data Management such as: data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery Note : Immedite or Notice period serving candidates preferred. If interested please share your updated CV on ashwini.ukekar@medtronic.com

Role & responsibilities Job Description: As a Data Governance Architect, you must be able to manage organization-wide data governance activities and will be responsible for improving the quality and managing the protection of sensitive data and information assets. You will be responsible for preparing a Data Catalog strategy to build out a catalog with data and BI objects and onboard a user base to support the curation of metadata, lineage, and documentation for enabling seamless data discovery at an enterprise level, thereby streamlining data intake, and reducing data duplication throughout the organization. You must be result-oriented, self-motivated and can thrive in a fast-paced environment. This role requires you to serve as a point of escalation for governance, data quality and protection issues and will work closely with Business and Functional area leadership to improve the quality and value of core data assets, respond to regulatory protection requirements as well as support the strategic requirements of the department. Primary Roles and Responsibilities: • Looking for a Data Governance expert for the development of a metadata management system solution. Should be able to streamline the curation of metadata with custom scripts to upload available metadata to the API to achieve a deeper understanding of their catalog content and user base using custom dashboards to track adoption. • Responsible for the implementation and oversight of the Companys data management goals, standards, practices, process, and technologies. • Experience in establishing data connections for relevant schemas, defining data stewards role & responsibilities for the scope of the data catalog. • Define roles and responsibilities related to data governance and ensure clear accountability for stewardship of the companys principal information assets • To properly onboard the data catalog, you should be able to conduct a data domain team assessment, discover the availability & completeness of each teams metadata, and develop a process for working with and onboarding data domain teams. • Be the point of contact for Data Governance queries, including escalation point for client concerns. • Coordinate the resolution of data integrity gaps by working with the business owners and IT. • Ability to work in an agile environment with an iterative approach to development. Skills and Qualifications: Bachelor's and/or master’s degree in computer science or equivalent experience. Must have total 6+ yrs. of IT experience and 4+ years' experience in Data Cataloging & Data Governance projects. Programming skills (sufficient to write SQL queries to validate test results in DW database). Proficient in SQL, Python, and must have strong understanding of databases and data structures. Experience with Application programming interface (API) development skills, essential in developing & running API scripts across multiple devices, databases, and servers, working with REST, and open API technologies. Proficient in working with Enterprise Data Catalog software like Alation, Collibra etc. Experience with dashboarding of reporting tools (Power BI, Tableau etc.) is a plus. Excellent analytical, problem-solving, communication and interpersonal skills. Ability to set priorities and multi-task in a fast-paced environment. Experience in metadata management - Business Glossary, Lineage, data dictionaries, ETL is essential. Ability to work independently and productively under pressure. Strong organizational skills and decision-making ability

P2 Grade- (3+ to 5 yrs) -> CTC -> 11.50 LPA Max P3 Grade (5 to 8 yrs) CTC -> 21 LPA Max POSITION SUMMARY This role is accountable to develop, expand and optimize Data Management Architecture, Design & Implementation under Singtel Data Platform & Management 1. Design, develop and implement data governance and management solution, data quality, Privacy, protection & associated control technology solutions as per best industry practice. 2. Review, evaluate and implement Data Management standards primarily Data Classification, Data Retention across systems. 3. Design, develop and implement Automated Data Discovery rules to identify presence of PII attributes. 4. Drive development, optimization, testing and tooling to improve overall data control management (Security, Data Privacy, protection, Data Quality) 5. Review, analyze, benchmark, and approve solution design from product companies, internal teams, and vendors. 6. Ensure that proposed solutions are aligned and conformed to the data landscape, big data architecture guidelines and roadmap. KEY RESPONSIBILITIES AND RESULTS 1 Design and implement data management standards like Catalog Management, Data Quality, Data Classification, Data Retention 2 Drive BAU process, testing and tooling to improve data security, privacy, and protection 3 Identify, design, and implement internal process improvements: automating manual processes, control and optimizing data technology service delivery. 4 Implement and support Data Management Technology solution throughout lifecycle like user onboarding, upgrades, fixes, access management etc.. QUALIFICATIONS / EXPERIENCE / KNOWLEDGE REQUIRED Category Essential for this role Education and Qualifications Diploma in Data Analytics, Data Engineering, IT, Computer Science, Software Engineering, or equivalent. Work Experience • Exposure to Data Management and Big Data Concepts Knowledge and experience in Data Management, Data Integration, Data Quality products Technical Skills • Informatica CDGC, Collibra, Alatian Informatica Data Quality, Data Privacy Management Azure Data Bricks

Data Strategy & Data Governance Manager Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network Areas of Work: Data Strategy Level: Manager | Location: Bangalore / Gurgaon / Mumbai / Pune / Chennai / Hyderabad / Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. As part of this high performing team, you will work on the scaling Data & Analyticsand the data that fuels it allto power every single person and every single process. You will part of our global team of experts who work on the right scalable solutions and services that help clients achieve your business objectives faster. Business Transformation: Assessment of Data & Analytics potential and development of use cases that can transform business Transforming Businesses: Envisioning and Designing customized, next-generation data and analytics products and services that help clients shift to new business models designed for today's connectedlandscape of disruptive technologies Formulation of Guiding Principles and Components: Assessing impact to clients technology landscape/ architecture and ensuring formulation of relevant guiding principles and platform components. Product and Frameworks :Evaluate existing data and analytics products and frameworks available and develop options for proposed solutions. Bring your best skills forward to excel in the role: Leverage your knowledge of technology trends across Data & Analytics and how they can be applied to address real world problems and opportunities. Interact with client stakeholders to understand their Data & Analytics problems, priority use-cases, define a problem statement, understand the scope of the engagement, and also drive projects to deliver value to the client Design & guide development of Enterprise-wide Data & Analytics strategy for our clients that includes Data & Analytics Architecture, Data on Cloud, Data Quality, Metadata and Master Data strategy Establish framework for effective Data Governance across multispeed implementations. Define data ownership, standards, policies and associated processes Define a Data & Analytics operating model to manage data across organization . Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards Benchmark against global research benchmarks and leading industry peers to understand current & recommend Data & Analytics solutions Conduct discovery workshops and design sessions to elicit Data & Analytics opportunities and client pain areas. Develop and Drive Data Capability Maturity Assessment, Data & Analytics Operating Model & Data Governance exercises for clients A fair understanding of data platform strategy for data on cloud migrations, big data technologies, large scale data lake and DW on cloud solutions. Utilize strong expertise & certification in any of the Data & Analytics on Cloud platforms Google, Azure or AWS Collaborate with business experts for business understanding, working with other consultants and platform engineers for solutions and with technology teams for prototyping and client implementations. Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Qualification Your experience counts! MBA from a tier 1 institute 5 7 years of Strategy Consulting experience at a consulting firm 3+ years of experience on projects showcasing skills across these capabilities- Data Capability Maturity Assessment, Data & Analytics Strategy, Data Operating Model & Governance, Data on Cloud Strategy, Data Architecture Strategy At least 2 years of experience on architecting or designing solutions for any two of these domains - Data Quality, Master Data (MDM), Metadata, data lineage, data catalog. Experience in one or more technologies in the data governance space:Collibra, Talend, Informatica, SAP MDG, Stibo, Alteryx, Alation etc. 3+ years of experience in designing end-to-end Enterprise Data & Analytics Strategic Solutions leveraging Cloud & Non-Cloud platforms like AWS, Azure, GCP, AliCloud, Snowflake, Hadoop, Cloudera, Informatica, Snowflake, Palantir Deep Understanding of data supply chain and building value realization framework for data transformations 3+ years of experience leading or managing teams effectively including planning/structuring analytical work, facilitating team workshops, and developing Data & Analytics strategy recommendations as well as developing POCs Foundational understanding of data privacy is desired Mandatory knowledge of IT & Enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains CDMP Certification from DAMA preferred Cloud Data & AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential

ABOUT THE ROLE Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data . This role involves working closely with business stakeholder and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with Data Product Owners, Data Stewards and technology teams to increase the trust and reuse of data across Amgen. Roles & Responsibilities: Responsible for the execution of data governance framework for a given domain of expertise (Research, Development, Supply Chain, etc.). Contribute to the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Contribute to the cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Partner with business teams to identify compliance requirements with data privacy, security, and regulatory policies for the assigned domains Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) delivers data foundations. Build strong relationship with key business leads and partners to ensure their needs are met. Functional Skills: Must-Have Functional Skills: Technical skills (Advanced SQL, Python etc) with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation General knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics Excellent problem-solving skills and a committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Soft Skills: Excellent analytical skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ability to build business relationships and understand end-to-end data use and needs. Strong verbal and written communication skills Basic Qualifications: Experience with 5 - 9 years of experience in Business, Engineering, IT or related field

In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour's. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience in the integration efforts between Alation and Manta, ensuring seamless data flow and compatibility. Collaborate with cross-functional teams to gather requirements and design solutions that leverage both Alation and Manta platforms effectively.. Develop and maintain data governance processes and standards within Alation, leveraging Manta's data lineage capabilities.. Analyze data lineage and metadata to provide insights into data quality, compliance, and usage patterns Preferred technical and professional experience Lead the evaluation and implementation of new features and updates for both Alation and Manta platforms Ensuring alignment with organizational goals and objectives. Drive continuous improvement initiatives to enhance the efficiency and effectiveness of data management processes, leveraging Alati