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Strong employer brand and common data role, but senior specialization and experience reduce applicant density.
Core data engineering skills transfer across industries, though consulting/managed services value specific domain experience.
Explicit 10-year requirement plus specialized Databricks and Kafka skills enforce high shortlisting strictness.
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Design and implement innovative data solutions and manage advanced data ecosystems within Managed Data, Analytics & Insights team.
Analyze complex problems, develop solutions, and maintain high-quality deliverables while mentoring junior team members.
Build and nurture client relationships and deepen understanding of business context, handling complex situations to deliver value.
Bachelor's Degree mandatory (preferably in Computer and Information Science or Information Technology).
Minimum 10 years of relevant work experience required.
Experience with data architecture, data warehousing, ETL/ELT processes, managed data and analytics programs.
Travel up to 60% required.
Experienced senior professional capable of leading data architecture and design implementations.
Proficient in scalable data structures, pipelines, and data governance solutions.
Able to navigate complex client and business contexts, mentor others, and sustain professional standards under ambiguity.