IN-Manager Data ArchitectD&AAdvisoryPAN India
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Job Summary
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob 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.
*Why PWC
At PwC we believe in providing equal employment opportunities without any discrimination on the grounds of gender ethnic background age disability marital status sexual orientation pregnancy gender identity or expression religion or other beliefs perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Deep expertise
Databricks: PySpark/SQL Delta Lake Structured Streaming Jobs/Workflows Unity Catalog cluster policies performance tuning.
Azure: ADLS Gen2 Event Hubs/Kafka Azure Functions/Logic Apps Key Vault ADF Synapse; VNETs Private Endpoints Managed Identity.
Fabric: Lakehouse OneLake Pipelines Dataflows Gen2 Shortcuts semantic models governance integration with Purview and Power BI.
Architecture patterns
Lakehouse medallion Data Mesh/data products CDC with Debezium/Fivetran/ADF mapping data flows SCD handling schema evolution.
Batch and streaming design watermarking state store management idempotency backfills and late/duplicate data handling.
Data management
Dimensional and semantic modeling Data Vault/Kimball query performance partitioning Z-Order OPTIMIZE/VACUUM file sizing.
DQ frameworks (Great Expectations/Deequ) monitoring/observability (Log Analytics Databricks metrics) SLA/SLO design.
Security and compliance
Purview lineage and classification Unity Catalog governance PII/PHI handling encryption tokenization; audit SOC2/ISO GDPR/DPDP familiarity.
Mandatory skill sets:
AzureDataArchitect
Preferred skill sets:
AzureDataArchitect
Years of experience required:
7-12 Years
Education qualification:
B. Tech/MBA/MCA/ M. Tech
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Generative AIOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback Communication Creativity Data Anonymization Data Architecture Development Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling 32 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
April 12 2026Required Experience:
Manager
About Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more
