Sr Agentic Data Management Advisor at Lingaro

, , India -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management Strategy, Data Management Platforms, Data Ingestion, Data Transformation, Data Orchestration, Data Discovery, MDM, Data Quality, Data Cataloging, Data Governance, POCs, Data Observability, Metadata Management, AI/ML, GenAI

Industry

IT Services and IT Consulting

Description

Purpose • Partner with the Head of Practice, and contribute to the shaping of the Data Management (DM) strategy of customers and ensuring all activities and tasks undertaken are linked to the overall strategy and priorities of the practice. • Senior and lead development of the solutions around Data management platforms comprising of various modern capabilities satisfying the needs of both data provisioning and consumption persona in the data ecosystem: e.g. capabilities that simplify, streamline, automate processes like data ingestion, transformation, orchestration, discovery, MDM, data quality, data cataloging, exploration, governance, etc • Drive experimentation and POCs with tools and explore building of accelerator solutions which are aligned with the DM strategy, and which can quickly be deployed to the benefit of requesting customers. • Collaborate with other team members and clients and as required to build the solution landscape. • Lead consulting engagements related to Data Quality & Observability metadata management and data cataloging • Drive innovation leveraging emerging capabilities in technology landscape: AI/ML, GenAI, Automation , and leading Data & Cloud Platforms. • Coaching junior members of the team including extended teams Key Performance Indicators • Timeliness and quality of Deliverables: building offerings, proposals, leading assessments, POCs. • Balances creativity with planned and structured execution aligned with organizational strategy and priorities. Seeks clarity, stays focused, and prioritizes deliverables. • Ensures proposal of solutions aligned with customer data strategy and requirements. • Liaises with sales and delivery teams as required. • Demonstrate learning agility to learn and implement new AI and Data concepts and solutions. • Outside-in perspective, and generation/adoption/implementation of innovative ideas. • Strong customer orientation. • Ensures clear communication of risks, issues, and expectations. • Capability of building robust solution architecture involving assembly and integration of various tools. • Passion for automation and hands-on with technical deliverables Skill Sets • 10+ years of experience in building data architecture and software solutions for organizations. • Strong command over backend solution architecture and data engineering using tools such as Databricks, Spark, Microsoft Fabric, Snowflake, BigQuery, AWS Glue, and NoSQL DBs. • Proven experience of using agentic development tools such as Cursor, Claude Code, Github Copilot or similar to boost work productivity • Experience implementing self-serve, metadata driven data pipelines. • Expertise in cloud platforms such as Azure, and GCP preferred. • Experience highly desirable – 3 or more of the following: o Implementation of data lakes, data lakehouse, data mesh or data fabric. o Certification or experience with any Data catalog, or MDM SaaS solution o Certification or experience with any Data Quality or Data Observability solution o Data modeling, Advanced SQL. o DEVOps/SecOps pipelines and CI/CD implementations. o Developing and testing web-application with React or Angular Frontend, Rest or graph API’s o Experience with LangChain, LangGraph, LangSmith or similar Agentic frameworks o Very good Programming skills in Python, Java, or other languages to deliver a wide variety of data services. • Basic understanding or exposure to traditional analytics: reporting / BI is preferred. • Practical knowledge of modern capabilities in AI and agentic frameworks and emerging use cases in the data management ecosystem preferred. Other Qualifications • Bachelors in engineering, mathematics, or statistics • FMCG/ CPG industry experience is highly desirable. \n \n

Responsibilities

The role involves partnering with leadership to shape customer Data Management (DM) strategy and leading the development of modern DM solutions covering ingestion, transformation, orchestration, and governance. Key duties include driving innovation through experimentation, POCs, and leveraging emerging technologies like AI/ML, while also coaching junior team members.