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Ab Initio is niche reducing applicants, but metro location and senior data role keep competition moderate.
Role demands specialized financial data platform and Ab Initio expertise, limiting cross-industry transferability.
Mandatory 8+ years plus required Ab Initio, streaming and AWS experience enforces strict candidate filtering.
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Lead design and delivery of cloud-native, event-driven data platforms for real-time financial transaction workflows and AI-ready data products.
Own end-to-end data pipeline design, coding, and operational reliability for large-scale, fault-tolerant ELT/ETL and streaming data pipelines.
Drive modernization of legacy batch ETL systems into scalable, real-time data architectures using AWS, Ab Initio, Kafka, and Spark technologies.
Bachelor's degree in Computer Science, Engineering, or related field with 8+ years in ELT/ETL, data warehousing or Lakehouse engineering; or 10+ years equivalent hands-on experience without degree.
8+ years full lifecycle data engineering experience with Ab Initio, Kafka (MSK/Confluent), Spark, Hive, RDBMS, and AWS (EMR, MSK, Glue, S3, Redshift).
5+ years experience with 24x7 real-time/streaming pipelines and 2+ years AWS cloud platform engineering including infrastructure-as-code.
Experience leading or mentoring data engineering teams in Agile/SAFe environment.
Experienced hands-on technical leader with end-to-end accountability for mission-critical data platforms in a SAFe/DevOps setup.
Strong background in financial services or FinTech data environments handling sensitive data with regulatory requirements.
AWS certified or pursuing certification; skilled in cloud migrations and modern data engineering tools with ability to influence across IT and business stakeholders.