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Tier-1 bank and metro location balanced by niche AbInitio seniority, yielding moderate applicant competition.
High because 8+ years banking experience and AbInitio/enterprise ETL expertise strongly constrain transferable backgrounds.
High due to explicit 12+ years, mandatory banking experience, and AbInitio/PySpark ETL technical requirements.
Own the architectural vision and strategic execution for scalable, reliable, and secure data platforms and pipelines across the organization.
Lead and grow the data engineering team including hiring, mentoring, resource planning, and budget management to deliver on business-aligned data initiatives.
Drive technology innovation by integrating AI, Big Data, cloud, and modern data ecosystem technologies, while ensuring operational excellence and Agile delivery.
Bachelor's degree or equivalent experience.
12+ years of experience in data engineering and technology with progressive leadership responsibilities.
8+ years experience in Banking or Financial Services sector.
Strong expertise in Abinitio, PySpark, Big Data technologies, cloud platforms (AWS/Azure/GCP), Oracle databases, and workflow scheduling tools such as Autosys/Control Centre.
Experienced leader skilled in setting and executing long-term data engineering strategy aligned with business objectives, especially within financial services.
Proven track record in architecting and managing large-scale enterprise data ecosystems, including legacy to cloud migrations and complex ETL processes.
Strong business acumen with ability to translate technical projects into measurable business value, and effective communication with senior leadership and technical teams.