Lead Data Architect – Microsoft Fabric

🔥 0 minutes ago

🇮🇳 India – Remote

💵 ₹2M - ₹6M / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 33 days.
• 158 open roles for a team of 134.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• Lead the end-to-end architecture, design, and implementation of enterprise Microsoft Fabric solutions • Define technical architecture, engineering standards, reusable frameworks, and best practices • Own OneLake structure, workspace strategy, capacity planning, and domain segregation • Establish Bronze, Silver, and Gold medallion architecture patterns • Provide technical leadership to data engineers and developers • Design and implement enterprise data platforms using Microsoft Fabric components • Design and develop ETL/ELT pipelines using Microsoft Fabric Data Factory and Spark Notebooks • Integrate structured, semi-structured, and unstructured data from cloud and on-premises systems • Design dimensional models, Lakehouse architectures, enterprise data warehouses, semantic models, and datasets for Power BI • Define and implement DevOps, Git integration, deployment pipelines, CI/CD, automated testing, and infrastructure-as-code practices • Architect security, access controls, governance, compliance, sensitivity labels, and row-level security • Optimise Spark workloads, SQL Warehouse performance, OneLake storage, partitioning, indexing, caching, and resource utilisation • Lead migrations from legacy platforms to Microsoft Fabric • Enable AI, machine learning, and Copilot capabilities within Microsoft Fabric • Lead production deployments, post-deployment support, incident troubleshooting, SLA compliance, disaster recovery, backup, and business continuity • Collaborate with architects, product owners, business stakeholders, and cross-functional teams • Mentor data engineers and developers, conduct reviews, and drive continuous improvement

🎯 Requirements

• 10+ years of experience in Data Engineering, Data Warehousing, or Cloud Data Platform development (10+ preferred; minimum 8+ years overall mandatory) • Minimum 8+ years of overall professional experience • 4+ years of hands-on experience with Microsoft Azure Data Platform technologies • At least 2 years of hands-on experience implementing Microsoft Fabric in enterprise environments • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline • Strong expertise in SQL, Python, PySpark, and Apache Spark optimisation • Hands-on experience with Microsoft Fabric components, including OneLake, Lakehouse, Data Warehouse, Data Factory, Power BI, and Real-Time Intelligence • Experience with Azure Data Lake Storage (ADLS), Azure DevOps, GitHub, and CI/CD pipelines • Strong understanding of dimensional data modelling, ETL/ELT architecture, and data governance • Proven experience designing scalable data platforms and leading enterprise-level data engineering initiatives • Must-have skills: Microsoft Fabric, Databricks, PySpark • Preferred Microsoft certifications such as DP-600, DP-203, or Azure Solutions Architect Expert • Preferred experience with Power BI semantic model optimisation and DirectLake mode • Preferred familiarity with data mesh and domain-driven data architecture principles • Preferred experience with Databricks, Azure Synapse Analytics, Azure AI Services, or Microsoft Purview • Preferred knowledge of Agile/Scrum delivery methodologies • Strong communication, stakeholder management, problem-solving, and technical leadership skills

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