IN-Manager_ Data Architect_D&A;_Advisory_PAN India Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager &

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, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive perks, flexibility programmes and mentorship that will help you thrive in work and life.

Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . 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 firm’s 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: Azure Data Architect Preferred skill sets: Azure Data Architect Years of experience required: 7 -12 Years Education qualification: B . T ech/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 AI Optional 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 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship?

No Government Clearance

Required?

No Job Posting End Date

April 12, 2026 Experience Level Senior Level

📌 Power BI Data and Analytics Manager (Hyderabad)
🏢 PriceWaterhouseCoopers( PWC
📍 Hyderabad