Senior Data Management Advisor

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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

• 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

🎯 Requirements

• 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.