Production Support Lead - Innovation_Delivery_Transformation

About the role

The Innovation & Delivery Transformation (I&DT) team is building the future of Deloitte's business through new AI-native platforms and products. The Converge for FSI business offers both start-up spirit and enterprise strength, focusing on developing differentiated financial services products that achieve product-market fit. This role is part of the Asset Insight Suite (AIS) product and engineering team, where you will lead L3 production support for AIS, working directly with client implementation teams to resolve issues and ensure platform reliability, accuracy, and compliance.

Responsibilities

• Own L3 triage and resolution for issues reported by client implementation teams across the full AIS pipeline.
• Diagnose data pipeline failures using the ABC (Audit, Balance, Control) framework to trace failed, delayed, or incorrect events.
• Troubleshoot identity-resolution issues during implementation, determining root causes related to data pipeline configuration, source data quality, or platform defects.
• Perform root-cause analysis on issues reported during onboarding and steady-state runs, document findings, and implement fixes—primarily config corrections and minor PySpark/Snowpark code changes.
• Act as the technical point of contact for implementation teams during active client onboarding, answering config-behavior questions and validating source feed mappings.
• Monitor platform health and reliability, including SLA adherence and event success rates, proactively flagging patterns that could affect multiple implementations.
• Maintain and improve runbooks, config troubleshooting guides, and known-issue documentation to reduce repeat escalations.
• Support security and compliance posture by investigating and remediating access-control issues (RBAC, per-client/per-source data scoping) to meet audit expectations.
• Implement small config-based enhancements requested by implementation teams during onboarding.
• Participate in an on-call/coverage rotation to support active implementations, with clear escalation paths to platform engineering for deeper architectural issues.

Skills

• Strong SQL and data debugging skills, including tracing issues through multi-layer data pipelines and long-format (key-value) data models.
• Working knowledge of PySpark and/or Snowpark; Python proficiency for writing fixes, scripts, and diagnostic tooling.
• Familiarity with AWS services (EMR, S3, Glue) and/or Snowflake, depending on client deployment.
• Experience with production support/incident management practices—triage, root-cause analysis, documentation, and escalation discipline—ideally in a regulated or financial-services environment.
• Understanding of data lineage, audit, and identity-resolution concepts, or strong ability to learn AIS’s specific model quickly.
• Comfort working directly with client-facing implementation teams under delivery timeline pressure, communicating clearly and staying calm under pressure.
• Working knowledge of general security practices for systems handling sensitive client and financial data.
• Strong written and verbal communication skills to translate technical root causes for both technical and non-technical stakeholders.
• Background in investment management, asset management, or another regulated financial services domain (e.g., wealth management, insurance, banking) is a strong plus.

Qualifications

• 5+ years of software engineering experience.
• Ability to travel 20–25% on average, based on work, clients, and industries served.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or in the future.

Preferred:

• Experience with AWS-based data infrastructure (EMR, S3, Glue) or Snowflake.
• Experience working in a consulting or professional services delivery model with multiple external clients.

Pay

The wage range for this role is approximately $100,400 to $197,900, with compensation decisions based on skill sets, experience, training, licensure, certifications, and other business and organizational needs. The range may be adjusted for the applicable geographic differential. Eligibility for a discretionary annual incentive program is also possible, subject to program rules and performance factors.