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Strong Tier-1 brand and metro location but senior niche role reduces applicant density.
Requires deep Azure data engineering and banking domain knowledge, making cross-industry transfers difficult.
Explicit 12–16 years requirement plus mandatory Azure/data engineering experience and certifications increases shortlisting strictness.
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Lead the design and architecture of large-scale data solutions and transformation programs in Azure Cloud, focusing on TMT services.
Manage and guide cross-functional technical teams in implementing advanced data engineering and analytics technologies to drive strategic business impact.
Engage with stakeholders to define technical solutions, delivery plans, and ensure successful execution of complex cloud-based projects.
12-16 years of work experience in data engineering and cloud analytics.
Proficient with Azure Cloud and Microsoft Data Platform (ADLS, Databricks, Synapse, Azure SQL DB, Data Factory, etc.).
Bachelor’s degree in Engineering, Computer Science, or related field (BE/B.Tech/MCA/M.Sc/M.E/M.Tech/MBA).
Mandatory certifications: Data Engineering on Microsoft Azure (DP 200/201/203) and/or Azure Solutions Architect Expert (AZ 303/304).
Experienced leader capable of managing large-scale cloud transformation and data architecture programs with strong technical and business acumen.
Deep expertise in both traditional and modern data architectures, especially within TMT domain and cloud analytics environments.
Proven ability to collaborate with cross-functional and geographically distributed teams, and to communicate effectively at technical and executive levels.