Senior Data Consultant – Data Engineer, Governance

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Quisitive

WebsiteLinkedInAll Job Openings

501 - 1000 employees

☁️ SaaS

🏢 Enterprise

SaaS • Consulting • Enterprise

Quisitive is a leading Microsoft Cloud Partner that focuses on providing integration and consulting services to help businesses innovate and thrive using Microsoft cloud technologies. The company specializes in application development, data and analytics, artificial intelligence, business applications, security, digital workplace solutions, and infrastructure management. Quisitive assists organizations in various sectors, including manufacturing, healthcare, education, energy, and public sector, helping them efficiently navigate and implement cloud-based solutions. With tailored products like MazikCare for healthcare and ShopFloor for manufacturing, Quisitive enhances operational efficiency and drives digital transformation across its clients’ businesses.

📋 Description

• Design, build, and maintain scalable data pipelines using Azure services (Data Factory, Synapse Pipelines, Databricks) • Implement data transformations and processing using Python, SQL, and Spark • Build and support data warehouse or lakehouse solutions in Azure Synapse or Microsoft Fabric • Lead data governance implementation using Microsoft Purview, including data cataloging, classification, lineage, and access policies • Support and advise clients on data governance frameworks, operating models, and best practices • Design and integrate Master Data Management (MDM) concepts, including reference data, golden records, and data ownership models • Partner with analytics, BI, and business stakeholders to deliver trusted, well-governed datasets • Monitor, optimize, and support data pipelines for performance, reliability, and cost

🎯 Requirements

• 5+ years of experience in data engineering, analytics engineering, or related roles • Strong hands-on experience with Azure data services (Databricks, Synapse, Data Factory, ADLS) • Demonstrated experience with Microsoft Purview for data governance and metadata management • Solid understanding of Master Data Management (MDM) concepts and data domain modeling • Proficiency in Python and SQL • Strong knowledge of ETL/ELT patterns and data modeling • Experience working directly with clients or business stakeholders in an advisory or consulting capacity