Data Integration Operations Manager

Madison-Davis

Metropark, NJ

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JOB DETAILS

SKILLS

Artificial Intelligence (AI), Banking Services, Business Operations, Business Support, Capital Markets, Cloud Computing, Communication Skills, Data Management, Derivatives, Documentation, Ecosystems, Financial Services, Fixed Income Investments, Follow Through, Global Financial Markets, Incident Management, Incident Response, Microsoft SQL Server, Microsoft Windows Azure, Offshoring, Operational Audit, Operational Communications, Operational Support, Operations Management, Oracle, Organizational Skills, Production Support, Productivity Management, Python Programming/Scripting Language, Regulatory Reports, Risk, Risk Management, Root Cause Analysis, SQL (Structured Query Language), SQL Server Integration Services (SSIS), Service Level Agreement (SLA), Software Development Lifecycle (SDLC), Team Player, Technical Operations

LOCATION

Metropark, NJ

POSTED

6 days ago

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

About the Company

Madison-Davis

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