Azure Microsoft Fabric - Manager

PwC Acceleration Center India; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

A leading consulting firm in Bengaluru seeks a Manager for Azure Microsoft Fabric to oversee data engineering solutions. The ideal candidate will have over 12 years of experience, utilizing advanced technologies for data transformations and analytics. Responsibilities include developing data pipelines, engaging with stakeholders, and guiding technical teams. Proficiency in Azure cloud tools and strong communication skills are essential for success in this dynamic role.

Qualifications

• 12-16 years of hands-on experience in data engineering.
• Proficient in both traditional and modern data architectures.
• Excellent communication and leadership skills.
• Experience leading technical teams and delivering client solutions.

Responsibilities

• Drive the design and deployment of data pipelines and platforms using Azure services.
• Develop and optimize SQL database solutions for analytics.
• Engage with stakeholders to understand client requirements.
• Lead cross-functional teams across geographies and ensure quality processes.

Skills

Cloud Analytics

Data Engineering

Data Pipelines

SQL databases

PySpark Notebooks

Azure Data Services

Big Data Technologies

Stream Processing

DevOps tools

Communication

Education

BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

MCA / M.Sc / M.E / M.Tech / MBA

Tools

Azure SQL DB

Azure Data Lake Storage

Azure Synapse Analytics

Apache Spark

Git

Power BI

Apache Spark

Kafka / Solr / Elastic Search

Jenkins / Gitlab / Code Pipeline

Spark Streaming

Job description

Join to apply for the Azure Microsoft Fabric - Manager role at PwC Acceleration Center India.

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision‑making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Key Responsibilities and Qualifications

• Passion for technology, in the space of Analytics
• Hands‑on experience in Cloud Analytics, Data Engineering
• Hands on experience in building large data repositories in Cloud
• Hands on experience in designing and implementing large scale transformation programs in Cloud, Enterprise Data Management
• Drive the design, development, and deployment of data pipelines and analytics platforms using Azure Data Services and Microsoft Fabric
• Architect and oversee PySpark Notebooks and SparkSQL jobs to process large‑scale datasets efficiently
• Develop and optimize SQL database solutions to support analytics, reporting, and data integration needs
• Engage with business stakeholders, to understand client requirements and build technical solutions and delivery plans
• Business / domain knowledge along with technical expertise
• Experience in working with cross functional and geographically separated teams
• Experience in technical scoping of projects, drawing delivery plans
• Experience in leading technical teams, guiding and mentoring team members
• Experience in presenting technical and business executive presentations to leadership
• Responsible for the design and execution of abstractions and integration patterns (APIs) to solve complex distributed computing problems

Years of Experience: 12‑16 years of hands‑on experience.

Position Requirements

Must Have:

• Proficient with Azure cloud computing, including big data technologies.
• Experience with deep understanding in both traditional and modern data architecture and processing concepts including relational databases (e.g., SQL Server, MySQL, PostgreSQL), Data warehousing, big data, NoSQL and business analytics.
• Rich experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services.
• Experience in building stream‑processing systems, using solutions such as Storm or Spark‑Streaming.
• Understanding of big data use‑cases and Lambda/Kappa design patterns.
• Hands‑on experience with Microsoft Fabric and its components.
• Proficient in PySpark Notebooks for building scalable data processing pipelines.
• Strong command over SQL databases and performance tuning for analytical workloads.
• Solid experience with SparkSQL for complex data transformations and querying.
• Knowledge of real‑time/stream analytics trends.
• Architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualization, structured and unstructured data, etc.).
• Demonstrable hands‑on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services.
• Exposure to Open Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search.
• Should be well versed with quality processes and implementation.
• Excellent communication skills.
• Business / domain knowledge in one of the domains – Financial Services, Healthcare, Consumer Market, Industrial Products, Telecommunication, Media and Technology, Deal advisory along with technical expertise.
• Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit.
• Good understanding of Data Modeling and Data Architecture.

Technology Stack

• Azure SQL DB, Azure Synapse Analytics, Azure HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Azure Machine Learning, Stream Analytics, Azure Data Factory, Azure CosmosDB and Power BI.

Additional Skills

• Excellent communication skills, client presence, presentation skills.
• People skills, leadership skills.
• Engage with business and technical teams to drive consensus.

Professional And Educational Background

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Purchasing and Supply Chain

Industry

Professional Services