Snowflake+Cortex - Manager

PwC; Pune District, Gurugram District, Bengaluru; Hybrid; INR 1,400,000 - 2,300,000; Full time

Job summary

PwC is seeking a data architecture professional with strong Azure and big data skills to design and implement end-to-end data platforms. You will integrate relational DBs, data lakes, and analytics to deliver scalable BI solutions.

Responsibilities include leading Power BI dashboard rollouts, enforcing data quality, and enabling self-service analytics for finance stakeholders in a dynamic environment.

Qualifications

• Proficient with Azure Data Services and Databricks; experience with Snowflake is a plus.
• Deep understanding of traditional and modern data architecture, data modeling, and analytics.
• Hands-on with Azure ADLS, Data Bricks, Data Flows, HDInsight, and Azure Analysis Services.
• Experience building stream-processing systems using Spark-Streaming or similar.
• Knowledge of Lambda/Kappa patterns and real-time analytics trends.

Responsibilities

• Architect, design, implement, and support complex data architectures integrating sources, data lakes, and BI.
• Lead rollout of Power BI dashboards and enable self-service analytics for stakeholders.
• Ensure compliance with data governance and quality processes.

Skills

Azure Data Services

Databricks

Snowflake

Relational databases

Data warehousing

Big data

NoSQL

Power BI

Azure Data Lake

Streaming analytics

Tools

Apache Spark

Hadoop

Kafka

Solr/Elasticsearch

Job description

• Proficient with Azure Data Services, Databricks, and Snowflake.
• 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
• 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

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

• Exposure to Open-Source technologies such as Apache Spark, Hadoop, NoSQL, Kafka, Solr/Elastic Search
• Drive adoption and rollout of Power BI dashboards, standardizing reporting and enabling self-service BI capabilities for finance stakeholders.
• Should be well versed with quality processes and implementation
• Excellent communication skills
• Business / domain knowledge in Financial Services Domain with familiarity with data compliance standards (PCI DSS, GDPR, etc.)
• 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