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Lingaro

Turns data into AI-driven business insights

Senior Agentic Data Management Advisor

Data ManagementConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listed

About the Job

Requirements

  • At least 10 years of experience working as a data architect or cloud data solution architect, with a strong professional background in Data and AI architecture advisory.
  • Strong understanding of DAMA, DCAM, or another data management framework.
  • Strong command of data ingestion, processing, and streaming architecture, with experience using data engineering tools such as Databricks, Spark, Microsoft Fabric, Snowflake, BigQuery, AWS Glue, and NoSQL databases.
  • Proven experience with different types of data modeling for cloud data warehouses and advanced SQL.
  • Proven experience using agentic development tools such as Cursor, Claude Code, GitHub Copilot, or similar tools to boost productivity.
  • Experience implementing self-serve, metadata-driven data pipelines.
  • Bachelor's degree in engineering, mathematics, or statistics.

Responsibilities

  • Partner with the Head of Practice and contribute to shaping customers' Data Management strategy, ensuring activities and tasks align with the practice's overall strategy and priorities.
  • Lead development of solutions around data management platforms with modern capabilities for data provisioning and consumption, including data ingestion, transformation, orchestration, discovery, master data management, data quality, data cataloging, exploration, and governance.
  • Drive experimentation and proof-of-concept work with tools and explore building accelerator solutions aligned with the Data Management strategy for rapid customer deployment.
  • Collaborate with team members and clients as needed to build the solution landscape.
  • Lead consulting engagements related to data quality and observability, metadata management, and data cataloging.
  • Drive innovation using emerging technology capabilities, including AI and machine learning, generative AI, automation, and leading data and cloud platforms.
  • Coach junior team members, including extended teams.

Desired Qualifications

  • Expertise in cloud platforms such as Azure and Google Cloud Platform.
  • Experience in three or more of the following: implementing data lakes, lakehouses, data mesh, or data fabric; using a data catalog or master data management SaaS solution; using a data quality or observability solution; data modeling and advanced SQL; DevOps or SecOps pipelines and continuous integration/continuous delivery implementations; programming in Python, Java, or similar languages to deliver data services.
  • Basic understanding of or exposure to traditional analytics, including reporting and business intelligence.
  • Practical knowledge of modern AI capabilities and agentic frameworks, and emerging data management use cases.
  • Awareness of LangChain, LangGraph, LangSmith, or similar agentic frameworks.
  • Cloud (AWS, Azure, or GCP), Databricks, Informatica, Claude, or other relevant certifications.
  • FMCG/CPG industry experience.

About the Company

Lingaro

Turns data into AI-driven business insights

Lingaro helps large organizations turn data into business value. It provides end-to-end data and AI services, from strategy and advisory to building scalable data platforms and AI solutions. Its team turns complex data into actionable insights, advanced analytics, and AI-driven automation, enabling faster decisions and greater efficiency. Lingaro distinguishes itself with global reach rooted in Europe, strong engineering expertise, agility, and deep industry knowledge, serving 75+ brands in 30+ countries, including highly regulated sectors. As a long-term transformation partner, the company aims to make organizations data-ready, AI-ready, and future-ready, delivering measurable business impact across teams and processes.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Warsaw, Poland
Founded
2008

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