qode.world

Senior Data Architect

qode.world

full-time

Posted on:

Location Type: Hybrid

Location: Texas • Ohio • Pennsylvania • United States

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Job Level

Senior

Tech Stack

CloudETLInformaticaKafkaNoSQLPySparkPythonRuby on RailsSparkSQLSwift

About the role

  • Develop and maintain target-state data architecture for Commercial Banking Payments and Merchant Services.
  • Architect scalable, secure, and high-performance data models spanning payment processing, merchant acquiring, settlement, chargebacks, fraud, and dispute management.
  • Define canonical data models and standards for ACH, RTP, Wires, card transactions, and merchant transaction lifecycle.
  • Lead architecture for on-premise and cloud-based data platforms supporting real-time and batch processing.
  • Partner with engineering teams to design robust data pipelines, streaming solutions (Kafka/Kinesis/EventHub), and data APIs.
  • Oversee data ingestion from core systems: payment hubs, card networks, merchant gateways, core banking, transaction monitoring, and risk decision engines.
  • Provide subject-matter expertise on: ACH, Wires, RTP, etc.
  • Translate payment and merchant services business requirements into scalable data solutions.
  • Establish and enforce data governance, metadata standards, lineage tracking, and data quality frameworks.
  • Work closely with compliance and risk teams to ensure adherence to regulatory requirements.
  • Advise executives, product leaders, and technology partners on data strategies that unlock business value.
  • Drive architectural decisions for new product offerings, modernization initiatives, and digital payment innovations.
  • Conduct architecture reviews, proof-of-concepts, and assessments of vendor or fintech solutions.

Requirements

  • 12+ years of experience in data architecture, data engineering, or enterprise architecture.
  • Proven experience in Commercial Banking, specifically within Payments or Merchant Services domains.
  • Deep knowledge of payment instruments and rails: ACH, Wires, RTP, SWIFT, card networks, tokenization.
  • Hands-on experience with:
  • o Data modeling (relational, dimensional, NoSQL)
  • o SQL, Python, Spark, PySpark
  • o ETL/ELT tools (Informatica, DBT, Talend, ADF, Glue, etc.)
  • o Streaming technologies (Kafka, Event Hub, Kinesis)
  • o MDM, metadata management, data lineage tools
  • Solid understanding of data security and compliance frameworks.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architecturedata engineeringenterprise architecturedata modelingSQLPythonSparkETLstreaming technologiesdata security
Soft Skills
leadershipcommunicationcollaborationadvisory skillsproblem-solving