4 Lineage Tracking Jobs

As a skilled and passionate Platform Architect specializing in GenAI/LLM Systems, you will be responsible for architecting scalable, cloud-native infrastructure to support enterprise-grade GenAI and LLM-powered applications. Your role will involve designing and deploying secure, reliable API gateways, orchestration layers (such as Airflow, Kubeflow), and CI/CD workflows for ML and LLM pipelines. Collaboration with data and ML engineering teams will be essential to enable low-latency LLM inference and vector-based search platforms across GCP (or multi-cloud). You will define and implement a semantic layer and data abstraction strategy to facilitate consistent and governed consumption of data across LLM and analytics use cases. Additionally, implementing robust data governance frameworks including role-based access control (RBAC), data lineage, cataloging, observability, and metadata management will be part of your responsibilities. Your role will involve guiding architectural decisions around embedding stores, vector databases, LLM tooling, and prompt orchestration (e.g., LangChain, LlamaIndex), as well as establishing compliance and security standards to meet enterprise SLA, privacy, and auditability requirements. To excel in this role, you should have at least 7 years of experience as a Platform/Cloud/Data Architect, ideally within GenAI, Data Platforms, or LLM systems. Strong cloud infrastructure experience on GCP (preferred), AWS, or Azure, including Kubernetes, Docker, Terraform/IaC is required. Demonstrated experience in building and scaling LLM-powered architectures using OpenAI, Vertex AI, LangChain, LlamaIndex, etc. will be a significant advantage. You should also have familiarity with semantic layers, data catalogs, lineage tracking, and governed data delivery across APIs and ML pipelines. A track record of deploying production-grade GenAI/LLM services that meet performance, compliance, and enterprise integration requirements is essential. Strong communication and cross-functional leadership skills are also desired, as you will be required to translate business needs into scalable architecture.,

You are a seasoned Confluent & Oracle EBS Cloud Engineer with over 10 years of experience, responsible for leading the design and implementation of scalable, cloud-native data solutions. Your role involves modernizing enterprise data infrastructure, driving real-time data streaming initiatives, and migrating legacy ERP systems to AWS-based platforms. Your key responsibilities include architecting and implementing cloud-based data platforms using AWS services such as Redshift, Glue, DMS, and Data Lake solutions. You will lead the migration of Oracle E-Business Suite or similar ERP systems to AWS while ensuring data integrity and performance. Additionally, you will design and drive the implementation of Confluent Kafka for real-time data streaming across enterprise systems. It is essential for you to define and enforce data architecture standards, governance policies, and best practices. Collaborating with engineering, data, and business teams to align architecture with strategic goals is also a crucial aspect of your role. Furthermore, you will optimize data pipelines and storage for scalability, reliability, and cost-efficiency. To excel in this role, you must possess 10+ years of experience in data architecture, cloud engineering, or enterprise systems design. Deep expertise in AWS services, including Redshift, Glue, DMS, and Data Lake architectures, is required. Proven experience with Confluent Kafka for real-time data streaming and event-driven architectures is essential. Hands-on experience in migrating large-scale ERP systems (e.g., Oracle EBS) to cloud platforms is a must. Strong understanding of data governance, security, and compliance in cloud environments, as well as proficiency in designing scalable, fault-tolerant data systems, are also necessary. Preferred qualifications include experience with data modeling, metadata management, and lineage tracking, familiarity with infrastructure-as-code and CI/CD practices, and strong communication and leadership skills to guide cross-functional teams.,

About the role: As a Senior Data Risk Manager , you will play a central role in shaping how Swiss Re identifies, assesses, and governs operational risks linked to data. Sitting in the 2nd Line of Defence, you will provide independent oversight, advise on control effectiveness, and challenge risk-taking decisions related to data use, storage, quality, lineage, and security. You'll also have the opportunity to influence our approach to data-related risks in AI and emerging technologies, helping shape governance practices that extend across a global enterprise. Key Responsibilities: Design and enhance Swiss Re's Data Risk Control Framework by identifying and embedding key controls across the data lifecycle. Challenge and advise 1st Line teams on risk identification, assessment, and control adequacy related to data management and digital processes. Lead risk reviews and thematic assessments across digital services, systems, or strategic technology projects to surface and address data management risks. Monitor implementation of data risk controls across business units and functions, gathering feedback to support continuous improvement. Establish risk reporting and monitoring standards for data management risks at Group level, providing clear risk insights to senior stakeholders. Assess AI-related data risks , ensuring alignment with applicable internal governance and external regulatory frameworks. Engage regularly with senior stakeholders , promoting a strong risk culture and influencing data governance behaviour across the organisation. About the team: The Digital & Technology Risk Management (DTRM) team acts as the 2nd Line of Defence for all digital and technology-related risks at Swiss Re. We provide independent oversight, challenge, and insight across Swiss Re's global digital landscape. Serving as an independent partner to the business, we help shape the Group's risk posture across various technology domains, ranging from infrastructure and application security to digital innovation and AI. Our commitment lies in driving high standards of resilience, informed risk-taking, and sound control practices through strong engagement and credible challenge. From reviewing control frameworks to assessing emerging risks, we help shape responsible innovation and build resilience into every layer of our technology environment. About you: We are looking for a confident and forward-thinking risk professional with a deep understanding of data governance and its associated risks. Experience & Capabilities Minimum 7 years of experience in operational risk, digital/technology risk, or data governance roles-preferably within financial services, reinsurance, or consulting. Familiarity with data lifecycle and records management frameworks (e.g., DAMA-DMBOK) and their practical application across large organisations. Proven experience conducting risk assessments, spot checks , and thematic reviews in a complex, regulated environment. Technical & Tooling Familiarity with data quality assurance techniques , metadata management, and lineage tracking. Proficient in using data governance platforms (e.g., Collibra , Palantir Foundry ) and supporting tools to analyse or visualise data flows and risks. Strong understanding of AI/ML data governance risks and regulatory developments (e.g., GDPR, AI Act, data ethics frameworks). Behavioural & Interpersonal Comfortable working independently , including collaboration with managers or stakeholders in different time zones. Strong stakeholder engagement and communication skills with the ability to influence and challenge at all levels. Demonstrated ability to balance business enablement with effective risk management . Certifications (Desirable) Certified Data Management Professional (CDMP) Certified in Risk and Information Systems Control (CRISC) Other data or risk-related qualifications are a plus Keywords: Reference Code: 134393

Type: Contract (36 Months Project) Location: Remote- Bengaluru,Hyderabad,Delhi / NCR,Chennai,Pune,Kolkata,Ahmedabad,Mumbai Availability: Immediate Joiners Preferred Were looking for a Junior Microsoft Purview Specialist to support our data cataloging and governance initiatives in a fast-paced remote setup. Key Responsibilities: Assist in the configuration and management of Microsoft Purview Support data cataloging, classification, and lineage tracking Work with data owners to ensure proper tagging and metadata management Help implement data governance policies Assist in integrating Purview with Azure and on-premises sources Document governance processes and resolve Purview-related issues Collaborate with project teams for timely delivery Primary Skills Required: Microsoft Purview Data Cataloging & Classification Metadata Management Understanding of Data Governance Azure Data Services (Basic knowledge is a plus) Strong communication and collaboration skills Preferred Qualifications: Certification/training in Microsoft Purview or related tools Exposure to Azure ecosystem: Data Factory, Synapse, Data Lake Ability to work independently in a remote environment If interested, please share your profile with the following details: Full Name: Total Experience: Relevant Microsoft Purview Experience: Current CTC: Expected CTC: Notice Period / Availability: Current Location: Preferred Location (Remote):