Role & responsibilities

Must Have:
Technical Leadership: Extensive experience leading teams in the design and delivery of Azure-based data platforms utilizing ADLS, Databricks, Data Factory, and Synapse.
Architectural Expertise: Demonstrated ability to design robust, scalable, and secure data architectures. You should be capable of defining technical standards and best practices for data modeling and data management.
Cloud Proficiency: Advanced understanding of Big Data frameworks; deep hands-on and architectural experience with Spark and Hadoop ecosystems.
Data Lifecycle Ownership: Comprehensive knowledge of the Data Warehousing (DW) lifecycle. Proven experience in leading the creation of high-level and detail-level design documents, and defining strategy for Unit/Integration/UAT plans.
Delivery Management: Solid track record of owning end-to-end delivery of data migration projects, including scope management, risk mitigation, and resource planning.
Technical Proficiency: Mastery of advanced SQL, complex data transformations, and performance tuning. Proficiency in Python and Unix/Shell scripting for automation.
DevOps & CI/CD:



Strategic understanding of DevOps implementation (Git, Jenkins, GitLab, Azure DevOps) to automate pipelines and ensure high-quality code delivery.
Stakeholder & Team Management: Excellent communication skills with the ability to advise senior client stakeholders, manage onsite/offshore teams, and mentor junior associates/engineers.
Operational Excellence: Experience in setting up operational frameworks, defining KPIs for data quality, and leading the transition to production (Operations Hand-off).

Positive to Have:
Certifications: Azure Data Engineer (DP-203) or Databricks Certified Data Engineer Qualified.
Advanced Analytics: Knowledge of Big Data ML toolkits (SparkML, H2O) and experience building real-time stream-processing systems.
Serverless Architectures: Practical experience with Azure Functions and event-driven data architectures.
Strategic Consulting: Experience in pre-sales support, RFP responses, or presenting technical roadmaps to C-level or Director-level business stakeholders.

Preferred candidate profile

📌 Data Engineering Manager With Azure & Databricks Hyderabad (India)
🏢 PwC
📍 India