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Informatica Lead Developer
Central Business SolutionsBranchville, NJ🇺🇸United StatesPosted 17 Jul 2026
Quick Overview
Work Type
On Site
Level
Mid Senior
Job Description
Informatica Lead Developer
Branchville, NJ (Short Hills, NJ from October)
Onsite (5 Days a week)
Key Responsibilities
- Lead hands‑on development and support of new and existing data integration applications using Informatica (PowerCenter, IICS, or equivalent), owning code quality, deployments, and operational stability.
- Informatica coding and implementation: design and build mappings, mapplets, reusable transformations, workflows, sessions, parameter files, and deployment artifacts; implement error handling, logging, and restartability.
- SQL analysis and optimization: author and tune complex SQL queries, analyze execution plans, optimize joins/index usage, and implement set‑based transformations for performance and scalability.
- Translate business requirements into data solutions: work with business analysts to profile source data, define transformation logic, and validate outputs against business rules.
- Architectural collaboration: partner with Application and Enterprise Architects to review low‑level designs and ensure alignment with high‑level data flow and governance standards.
- Production support and incident management: lead troubleshooting, root‑cause analysis, and remediation for production incidents; implement preventive fixes and runbooks.
- Mentorship and technical guidance: coach developers on Informatica best practices, coding standards, unit testing, and performance tuning.
- Documentation and knowledge transfer: maintain detailed technical documentation for mappings, data models, interfaces, and downstream integrations.
- Prioritization and planning: assist product owners and project managers in prioritizing enhancements, new development, and maintenance; estimate effort and contribute to release planning.
- Evaluate new technologies: assess ELT/modern data platforms (Databricks preferred), automation, and orchestration tools for fit and adoption.
- Risk escalation and stakeholder communication: surface technical risks, propose mitigation strategies, and communicate status to technical and business stakeholders.
Required Qualifications
- 15+ years of experience leading and/or hands‑on developing Data Warehouse, data integration, or data engineering projects.
- Proven leadership: history of owning deliverables and guiding teams to complete complex, time‑boxed projects.
- Strong Informatica expertise: extensive experience building and maintaining mappings, workflows, parameterization, reusable components, and deployment packages.
- Advanced SQL skills: ability to write, profile, and optimize complex SQL; experience with query tuning, indexing strategies, and analyzing execution plans.
- Data modeling knowledge: dimensional and normalized modeling, star/snowflake schemas, and metadata management.
- Experience with ELT and modern stacks: Databricks or INFROMATICA platforms preferred.
- Solid troubleshooting skills for production support, performance issues, and data quality problems.
- Excellent communication skills: able to explain technical tradeoffs to business stakeholders and produce clear documentation.
Leadership & Behavioral Attributes
- Mentor and coach who builds team capability and encourages knowledge sharing.
- Customer‑focused with the ability to balance urgent fixes and long‑term architecture.
- Analytical problem solver who uses data to drive decisions.
- Organized and detail oriented with a bias for documentation and repeatable processes.
- Collaborative across architects, QA, business analysts, and operations.
Logistics
- Consultant is supposed to work from onsite for 5 days a week.
- Location: Onsite at Branchville, New Jersey — full onsite presence required.
- Selective head quarter will be moving to Short hills, NJ in Q3/Q4 2026 hence the consultant work location will change accordingly.
- Schedule: Standard business hours with occasional extended hours for critical releases or production incidents.
Skills
SQL
Snowflake
Databricks
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