A global financial institution is seeking a senior Data Integration Operations Manager to support critical enterprise data flows across business, operations, and technology stakeholders. This role sits at the intersection of production operations, data integration, incident management, and platform modernization.
The team is managing an active transition from legacy integration tools toward a more cloud-forward, AI-enabled data architecture. The right person will be hands-on enough to understand SQL, Python, batch workflows, and pipeline behavior, while also able to coordinate across SMEs, offshore partners, and business-facing teams during time-sensitive production events.
RESPONSIBILITIES
Own daily visibility across integration operations, batch workflows, and production data pipelines
Coordinate with offshore teams at the start of the day to identify incidents, SLA risks, and operational blockers
Support business-hour integration processes across multiple enterprise data domains
Partner with senior SMEs to improve resiliency, monitoring, documentation, controls, and execution discipline
Help stabilize existing SQL Server and SSIS-based workflows while contributing to cloud data modernization
Support incident response, root-cause analysis, operational risk management, and SDLC expectations
Work across capital markets data areas such as market data, reference data, fixed income, equities, and derivatives
Contribute to the evolution of modern data platforms using Spark, PySpark, Databricks, governance, and Medallion-style architecture patterns
QUALIFICATIONS
7 to 10 plus years of experience in data integration, production operations, enterprise data platforms, or related technology environments
Strong hands-on SQL and Python skills
Experience supporting production data pipelines, batch processing, integrations, and SLA-driven workflows
Financial services or banking domain experience, preferably with exposure to capital markets
Ability to understand and communicate operational impact across technical and business teams
Experience with incident management, operational governance, release discipline, and production support
Familiarity with SQL Server, SSIS, Oracle, or comparable legacy data integration environments
Exposure to modern data platforms such as Databricks, PySpark, Spark, Azure, ADF, Airflow, Control-M, Tidal, or Snowflake
Practical understanding of how AI-assisted tools can improve productivity without replacing core technical judgment
Collaborative, low-ego communication style with strong ownership and follow-through
PREFERRED EXPERIENCE
Databricks or PySpark implementation experience
Medallion architecture or lakehouse data platform exposure
Experience modernizing on-prem data platforms into cloud-native ecosystems
Knowledge of market data, reference data, fixed income, equities, derivatives, repo, collateral, risk, or regulatory reporting
Experience working with distributed or offshore support teams
Numbers & Facts
Location
Metropark, NJ
Skills
Artificial Intelligence (AI)unmatched
Banking Servicesunmatched
Business Operationsunmatched
Business Supportunmatched
Capital Marketsunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Data Managementunmatched
Derivativesunmatched
Documentationunmatched
Ecosystemsunmatched
Financial Servicesunmatched
Fixed Income Investmentsunmatched
Follow Throughunmatched
Global Financial Marketsunmatched
Incident Managementunmatched
Incident Responseunmatched
Microsoft SQL Serverunmatched
Microsoft Windows Azureunmatched
Offshoringunmatched
Operational Auditunmatched
Operational Communicationsunmatched
Operational Supportunmatched
Operations Managementunmatched
Oracleunmatched
Organizational Skillsunmatched
Production Supportunmatched
Productivity Managementunmatched
Python Programming/Scripting Languageunmatched
Regulatory Reportsunmatched
Riskunmatched
Risk Managementunmatched
Root Cause Analysisunmatched
SQL (Structured Query Language)unmatched
SQL Server Integration Services (SSIS)unmatched
Service Level Agreement (SLA)unmatched
Software Development Lifecycle (SDLC)unmatched
Team Playerunmatched
Technical Operationsunmatched
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