11 Alation Jobs

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

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 stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Development domain of the biopharma lifecycle. 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.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Development domain of the biopharma lifecycle. 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 Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS). Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

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 stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for the Research domain of the biopharma lifecycle. 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.) define the specifications shaping the development and implementation of data foundations. Build strong relationships with key business leaders and partners to ensure their needs are met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in the Research domain of the biopharma lifecycle. 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 Experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) Soft Skills: Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Bachelors degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/ Information Systems experience

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Data Strategy and Planning: Develop and implement data architecture strategies that align with organizational goals and objectives. Collaborate with business stakeholders to understand data requirements and translate them into actionable plans. Data Modeling: Design and implement logical and physical data models to support business needs. Ensure data models are scalable, efficient, and comply with industry best practices. Database Design and Management: Oversee the design and management of databases, selecting appropriate database technologies based on requirements. Optimize database performance and ensure data integrity and security. Data Integration: Define and implement data integration strategies to facilitate seamless flow of information across. Responsibilities: Experience in data architecture and engineering Proven expertise with Snowflake data platform Strong understanding of ETL/ELT processes and data integration Experience with data modeling and data warehousing concepts Familiarity with performance tuning and optimization techniques Excellent problem-solving skills and attention to detail Strong communication and collaboration skills Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Cloud & Data Architecture: AWS , Snowflake ETL & Data Engineering: AWS Glue, Apache Spark, Step Functions Big Data & Analytics: Athena,Presto, Hadoop Database & Storage: SQL, Snow sql Security & Compliance: IAM, KMS, Data Masking Preferred technical and professional experience Cloud Data Warehousing: Snowflake (Data Modeling, Query Optimization) Data Transformation: DBT (Data Build Tool) for ELT pipeline management Metadata & Data Governance: Alation (Data Catalog, Lineage, Governance

We are Hiring Data Governance Analyst Level 3 for US based IT Company based in Hyderabad. Candidates with experience in Data Governance can apply. Job Title : Data Governance Analyst Level 3 Location : Hyderabad Experience : 7+ Years CTC : 18 LPA - 20 LPA Working shift : Day shift Description: We are seeking a seasoned and detail-focused Senior Data Governance Analyst (Level 3) to support and drive enterprise-wide data governance initiatives . This position will play a crucial role in implementing and managing data governance frameworks , ensuring data quality , and supporting regulatory compliance efforts across business units. The ideal candidate will bring deep expertise in data governance best practices , data quality management , metadata , and compliance standards within the financial services industry . As a senior team member, the analyst will collaborate closely with data stewards , business stakeholders , and technical teams to ensure consistent, accurate, and trusted use of enterprise data. Key Responsibilities: Implement and enhance data governance policies, standards, and processes across the organization Partner with business and technical teams to define and manage data ownership, stewardship , and accountability models Maintain and improve metadata and data lineage documentation using tools such as Collibra , Alation , or similar platforms Monitor key data quality metrics , conduct root cause analysis , and lead issue resolution efforts Ensure compliance with regulatory data requirements (e.g., BCBS 239, GDPR, CCPA ) Facilitate and lead data governance meetings , working groups, and stakeholder communications Support the creation and deployment of data literacy initiatives across the enterprise Document governance practices and develop reports for audits and executive leadership Serve as a subject matter expert in data governance and promote data management best practices across departments Required Skills & Qualifications: 5+ years of experience in Data Governance , Data Quality , or Data Management roles Proven experience in developing and managing data governance frameworks in complex organizational environments Strong understanding of data quality principles , data standards , and issue management workflows Experience with metadata management , data cataloging , and lineage tracking Proficiency with governance tools like Collibra , Alation , or similar platforms Solid grasp of data compliance and regulatory standards in the financial services sector Excellent communication, stakeholder engagement, and documentation skills Strong analytical thinking and problem-solving capabilities Preferred Qualifications: Experience in banking or financial services environments Understanding of enterprise data architecture , Master Data Management (MDM) , and BI/reporting systems Knowledge of data privacy regulations such as GDPR , CCPA , etc. Experience working within Agile project methodologies For further assistance contact/whatsapp : 9354909517 or write to hema@gist.org.in

Job Title: Senior Data Engineer Location: Remote Job Type: Fulltime Experience Level: 7+ years About the Role: We are seeking a highly skilled Senior Data Engineer to join our team in building a modern data platform on AWS. You will play a key role in transitioning from legacy systems to a scalable, cloud-native architecture using technologies like Apache Iceberg, AWS Glue, Redshift, and Atlan for governance. This role requires hands-on experience across both legacy (e.g., Siebel, Talend, Informatica) and modern data stacks. Responsibilities: Design, develop, and optimize data pipelines and ETL/ELT workflows on AWS. Migrate legacy data solutions (Siebel, Talend, Informatica) to modern AWS-native services. Implement and manage a data lake architecture using Apache Iceberg and AWS Glue. Work with Redshift for data warehousing solutions including performance tuning and modelling. Apply data quality and observability practices using Soda or similar tools. Ensure data governance and metadata management using Atlan (or other tools like Collibra, Alation). Collaborate with data architects, analysts, and business stakeholders to deliver robust data solutions. Build scalable, secure, and high-performing data platforms supporting both batch and real-time use cases. Participate in defining and enforcing data engineering best practices. Required Qualifications: 7+ years of experience in data engineering and data pipeline development. Strong expertise with AWS services, especially Redshift, Glue, S3, and Athena. Proven experience with Apache Iceberg or similar open table formats (like Delta Lake or Hudi). Experience with legacy tools like Siebel, Talend, and Informatica. Knowledge of data governance tools like Atlan, Collibra, or Alation. Experience implementing data quality checks using Soda or equivalent. Strong SQL and Python skills; familiarity with Spark is a plus. Solid understanding of data modeling, data warehousing, and big data architectures. Strong problem-solving skills and the ability to work in an Agile environment.

Data Governance, Data Quality, Data Management Collibra, Alation MDM, and BI/reporting processes data privacy regulations (GDPR, CCPA, etc.) Agile project environments

Looking for Fulltime, Consulting or Freelance Experts with Alation Experience Note: Looking for Immediate Joiners only Summarized Purpose: We are seeking an exceptionally skilled and motivated Solution Architect/Data Governance Lead who can play a pivotal role in the realm of data analytics and business intelligence, driving impactful solutions that empower organizations to harness the full potential of data and enabling to make informed decisions that can help to achieve the business objectives and foster a data-driven culture. Essential Functions: Design and architect end-to-end data governance solutions, focusing on the implementation of the Alation tool, to meet the organization's data governance objectives and requirements. Collaborate with business stakeholders, data stewards, and IT teams to understand data governance needs and translate them into technical requirements, leveraging the capabilities of the Alation tool. Develop data governance strategies, policies, and standards that align with industry best practices and regulatory requirements, leveraging the Alation tool's features and functionalities. Implement and configure the Alation tool to support data governance initiatives, including data cataloging, data lineage, data quality monitoring, and metadata management. Define and implement data governance workflows and processes within the Alation tool, ensuring efficient data governance operations across the organization. Collaborate with cross-functional teams to integrate the Alation tool with existing data systems and infrastructure, ensuring seamless data governance processes. Conduct data profiling, data quality assessments, and data lineage analysis using the Alation tool to identify data issues and develop remediation strategies. Provide guidance and support to business stakeholders, data stewards, and data owners on the effective use of the Alation tool for data governance activities. Stay updated on the latest trends, emerging technologies, and best practices in data governance and the Alation tool, and proactively recommend enhancements and improvements. Collaborate with IT teams to ensure the successful implementation, maintenance, and scalability of the Alation tool, including upgrades, patches, and configurations. Knowledge, Skills and Abilities: Bachelor's degree in computer science, information systems, or a related field. A master's degree is preferred. Must have minimum 15 years experience in IT who has min 3 years experience in Alation and min 10+ years experience in SQL, EDW or any Data Engineering/Data Science capabilities. Proven experience as a Data Governance Solution Architect, Data Architect, or similar role, with hands-on experience implementing data governance solutions using the Alation tool (Must Have) Strong expertise in designing and implementing end-to-end data governance frameworks and solutions, leveraging the Alation tool (Must Have) In-depth knowledge of data governance principles, data management best practices, and regulatory requirements (e.g., GDPR, CCPA). Proficiency in configuring and customizing the Alation tool, including data cataloging, data lineage, data quality, and metadata management features. (Must Have) Experience in data profiling, data quality assessment, and data lineage analysis using the Alation tool or similar data governance platforms. (Must Have) Familiarity with data integration, data modeling, and data architecture concepts. Excellent analytical, problem-solving, and decision-making skills with a keen attention to detail. Strong communication and interpersonal skills with the ability to effectively collaborate with cross-functional teams and influence stakeholders. Proven ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines. Professional certifications in data governance, such as CDMP (Certified Data Management Professional), DAMA-CDMP (Data Management Association Certified Data Management Professional) , or similar certifications, are a plus. (Nice to Have) Good Understanding of Master Data Management, Data Integration and SQL Skills Exposure to dimensional data modeling, Data Vault Modeling, ETL, ELT and data warehousing methodologies. Ability to effectively communicate in writing and orally with a wide range of audiences and maintain interpersonal relationships. Ability to work within time constraints and manage multiple tasks against critical deadlines. Ability to perform problem solving and apply critical thinking, deductive reasoning, and inductive reasoning to identify solutions. Certifications from Alation are desired (Must Have )

Role Title: Software Engineering Advisor Position Summary: The Health Services Data Design and Metadata Management team is hiring an Architecture Senior Advisor to work across all projects. The work involves understanding and driving data design best practices, including data modeling, mapping, and analysis, and helping others to apply them across strategic data assets. The data models are wide-ranging and must include the appropriate metadata to support and improve our data intelligence. Data design centers around standard health care data (eligibility, claim, clinical, and provider data) across structured and unstructured data platforms. Job Description & Responsibilities: Perform data analysis, data modeling, and data mapping following industry and Evernorth data design standards for analytics/data warehouses and operational data stores across various DBMS types, including Teradata, Oracle, Cloud, and Hadoop, Databricks and Data lake. Perform data analysis, profiling and validation, contributing to data quality efforts to understand data characteristics and ensure data correctness/condition for use. Participate in and coordinate data model metadata development processes to support ongoing development efforts (data dictionary, NSM, and FET files), maintenance of data model/data mapping metadata, and linking of our data design metadata to business terms, data models, mapping documents, ETL jobs, and data model governance operations (policies, standards, best practices). Facilitate and actively participate in data model/data mapping reviews and audits, fostering collaborative working relationships and partnerships with multidisciplinary teams. Provide guidance, mentoring, and training as needed in data modeling, data lineage, DDl code, and the associated toolsets (Erwin Data Modeler, Erwin Web Portal, Erwin model mart, Erwin Data Intelligence Suite, Alation). Assist with the creation, documentation, and maintenance of Evernorth data design standards and best practices involving data modeling, data mapping, and metadata capture including data sensitivity, data quality rules, and reference data usage. Develop and facilitate strong partnerships and working relationships with Data Governance, delivery, and other data partners. Continuously improve operational processes for data design metadata management for global and strategic data. Interact with Business stakeholders and IT in defining and managing data design. Coordination, collaboration, and innovation with Solution Verticals, Data Lake teams, IT & Business Portfolios to ensure alignment of data design metadata and related information with ongoing programs (cyber risk and security) and development efforts. Experience Required: 8+ years' experience with data modeling (logical / physical data model, canonical structures, etc.) and SQL code; Experience Desired: Subject matter expertise level experience preferred Experience executing data model / data lineage governance across business and technical data. Experience utilizing data model / lineage / mapping / analysis management tools for business, technical and operational metadata (Erwin Data Modeler, Erwin Web Portal, Erwin Model Mart, Erwin Data Intelligence Suite, Alation)Experience working in an Agile delivery environment (Jira, Confluence, SharePoint, Git, etc.) Education and Training Required: Advanced degree in Computer Science or a related discipline and at least six, typically eight or more years experience in all phases of data modeling, data warehousing, data mining, data entity analysis, logical data base design and relational data base definition, or an equivalent combination of education and work experience. Primary Skills: Physical data modeling, data warehousing, metadata, reference data, data mapping, 2 years - (Erwin Data Modeler, Erwin Web Portal, Erwin Model Mart, Erwin Data Intelligence Suite, Alation) Data mining, Teradata, data quality, excellent communication skills, data analysis, oracle, Data governance, management system, Jira, DDL, data integration, Microsoft, Sharepoint, database modeling, confluence, agile, marketing analysis, Sharepoint, operations, topo, data lineage, data warehouses, documentation Big data, web portal, maintenance, Erwin, SQL, unstructured data, audit, git, pharmacy DBMS, Databricks, AWS

Job Description : We are seeking a skilled Data Modeler to join our dynamic HR Data Team. The ideal candidate will have extensive experience in data modeling and database design, with a proficiency in data modeling tools such as Erwin Data Modeling. This role requires a strong understanding of data architecture principles, excellent analytical and problem-solving abilities, and effective communication skills. Key Responsibilities : - Collect data from multiple documentation sources and systems. - Create standardized data models for the HR Data Team using the Erwin Data Modeling Tool. - Develop Learn Data Models and Skills Data Models as MVP1, then expand to other HR functional areas. - Harmonize Data Models with Alation to ensure consistency and synergy. - Catalog and establish harmonization across data models to streamline processes. Job Requirements : - Proven experience in data modeling and database design. - Proficiency in data modeling tools, particularly Erwin Data Modeling. - Strong knowledge of SQL. - Deep understanding of data architecture principles. - Strong analytical and problem-solving skills. - Exceptional attention to detail. - Effective communication skills, capable of conveying complex technical information to both technical and non-technical stakeholders. Preferred Qualifications : - Experience in harmonizing data models with tools like Alation. - Familiarity with HR functional areas and related data models. What We Offer : - Competitive salary and benefits package. - Opportunity to work with a talented team of professionals. - A collaborative and innovative work environment. - Career growth and development opportunities. - If you are passionate about data modeling Location- Bengaluru,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad,Delhi NCR Exp.- 9-17 yrs

Job Title : Data Cataloging SpecialistJob Description :We are looking for a detail -oriented Data Cataloging Specialist to join our team. The successful candidate will have a strong understanding of data management principles and practices, along with experience in data cataloging tools such as Alation. This role requires familiarity with data classification, data profiling, and data quality assessment, as well as the ability to work with large datasets.Key Responsibilities : - Curate data within Alation, ensuring accuracy and relevance. - Create and manage approval process flow structures in Alation. - Develop and implement policies and procedures for data governance within Alation. - Collaborate with the JJT team to ensure data lineage is accurate and technical attributes are correctly matched. - Create Alation glossaries and job aids to assist end users in navigating and utilizing glossaries effectively. - Provide best practices and innovative ideas to enhance user experience within Alation.Job Requirements : - Strong understanding of data management principles and practices. - Proficiency in data cataloging tools, particularly Alation. - Familiarity with data classification techniques. - Experience with data profiling and data quality assessment. - Ability to work effectively with large datasets. - Excellent organizational skills and attention to detail. - Strong communication skills, capable of collaborating with technical teams and end users.Preferred Qualifications : - Experience in developing and implementing data governance policies and procedures. - Familiarity with data lineage concepts and practices. - Experience creating user documentation and training materials.What We Offer : - Competitive salary and comprehensive benefits package. - Opportunity to work with a talented and innovative team. - A collaborative and supportive work environment. - Opportunities for professional growth and development. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune