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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 employer and Bangalore metro increase competition, but seniority and niche Azure data specialization limit applicant pool.
Core Azure data engineering skills transfer, but required TMT and banking domain knowledge increases background sensitivity.
Explicit 12-16 years, mandatory Azure/data architecture expertise and certifications make filters highly stringent.
Job Description
Structured overview of role & requirementsAbout This Role
Lead the design and architectural strategy for large-scale Cloud data solutions, primarily using Azure and Databricks, to support client transformation programs.
Guide and manage cross-functional and geographically dispersed technical teams through complex program execution and delivery plans.
Engage with business stakeholders to understand requirements, ensure alignment, and deliver solutions with measurable strategic impact.
Minimum Requirements
12 to 16 years of experience in data engineering and cloud analytics, with hands-on experience in Azure Cloud and big data technologies.
Bachelor's degree in Engineering, Computer Science, or related field (BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA).
Proven expertise with Azure data services including ADLS, Databricks, Azure SQL DB, Synapse Analytics, and experience in building large-scale transformation programs.
Certifications required or highly preferred: Data Engineering on Microsoft Azure (DP 200/201/203) and Azure Solutions Architect Expert (AZ 303/304).
Ideal Candidate Profile
Experienced senior manager comfortable leading end-to-end architecture and delivery of Cloud data solutions in complex, multi-stakeholder environments.
Strong background in both traditional and modern data architectures, with domain knowledge in the TMT sector and digital transformation, especially in financial services.
Proficient in communicating and collaborating with both technical teams and business executives, capable of technical scoping, risk mitigation, and pre-sales engagement.