Snowflake+Cortex - Senior Manager

Industry/Sector Not Applicable Specialism Analytics Management Level Senior Manager Job Description & Summary 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.

At PwC - AC, we are looking for an Azure Senior Manager- Data & AI who will have: Passion for technology, in the space of Analytics

Hands-on experience in Cloud Analytics, Data Engineering

Hands-on experience in designing and implementing large-scale transformation programs in Cloud, Enterprise Data Management

Engage with business stakeholders, to understand client requirements and build technical solutions and delivery plans

Lead the design, architecture, and implementation of scalable data platforms and solutions across the finance domain

Guide the assessment and implementation of finance data marketplaces, ensuring seamless integration across business units

Architect end-to-end data integration strategies to support financial systems, reporting, forecasting, and planning

Work closely with finance business leaders to understand requirements and translate them into technical data solutions

Demonstrable technical knowledge in skills and streams mentioned in the Technical Skills section

Lead the end-to-end design and architectural strategy for banking and financial services solutions leveraging Azure and Databricks

In-depth understanding of core banking systems, risk management, regulatory frameworks, and digital transformation in financial services

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

Position Requirements:

Must Have Skills : 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 f amiliarity 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 Commi t

Good understanding of Data Modeling and Data Architecture

Certification: Data Engineering on Microsoft Azure (DP 200/201/203)

Azure Solutions Architect Expert (AZ 303/304)

Good to have skills: Cloud - AWS, GCP, Informatica-Cloud, Oracle-Cloud

Cloud DW - Snowflake, Databricks

Data Engineering - Java, Python, Pyspark , R-Programming

Data Integration - Informatica, DataStage, AbInitio

Business Intelligence - MicroStrategy, Business Objects, Cognos

Data Visualization – Tableau, Qlik

Data Appliance - Teradata, Netezza

Additional Skills Excellent communication skills, client presence, presentation skills

People skills, Leadership skills

Engage with business and technical teams to drive consensus

Experience in Pre-Sales and proposal response

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

Travel Requirements Not Specified Job Posting End Date