IN_Senior Manager_Azure Data Engineer_OC-Data & Analytics AITH_Advisory_Bhubaneswar
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Protocol Intelligence
Data-driven signals on your job's competitivenessSenior specialized multi-cloud data engineering role in non-metro location reduces applicant density despite PwC brand.
Technical data engineering and cloud skills are transferable across industries, though consultancy leadership experience favors advisory backgrounds.
Explicit 12–16 years plus mandatory cloud, data engineering, and leadership skills makes screening highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage data engineering teams to build and maintain scalable, secure data platforms on multiple cloud environments (Azure, AWS, GCP, Oracle Cloud).
Own end-to-end data engineering lifecycle including ingestion, transformation, storage, delivery, and cloud migration from on-premises to cloud-native platforms.
Define technical standards, manage vendor relationships, enforce data governance, and report progress and KPIs to senior leadership.
Minimum Requirements
12 to 16 years of work experience in data engineering or related technical leadership roles.
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related fields; MBA or Engineering degree preferred.
Hands-on experience with cloud platforms (Azure Data Factory, Synapse Analytics, Databricks; AWS Glue, Redshift; GCP BigQuery; Oracle Cloud Infrastructure).
Proven leadership experience managing data engineering teams and projects, including familiarity with Agile methodologies.
Ideal Candidate Profile
Experienced in multi-cloud/hybrid cloud data platform design, migration, and operational management.
Strong technical expertise in ETL/ELT pipelines, big data tools (Apache Spark, Kafka, Airflow), and infrastructure automation.
Demonstrated ability to translate business needs into scalable data engineering solutions and effectively communicate with diverse stakeholders.