Data Engineer, Vice President

Citi • Jersey City, NJ

23h • $142,320 - $213,480 • Onsite

About The Position

Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities. Position Summary: The Vice President, Technology (Data Engineer) will lead the design and delivery of enterprise-grade data integration solutions supporting CRM and Analytics platforms. This role requires deep hands-on expertise in ETL/ELT engineering, Python scripting for automation and data loads, and exceptional proficiency across both relational (SQL) and non-relational (NoSQL) data technologies. The successful candidate will partner with architecture, application, and business teams to build reliable, secure, and scalable pipelines that enable analytics, operational reporting, and downstream system integration.

Requirements

• 6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs.
• Proven track record delivering data integration for ERP and/or CRM platforms in complex environments.
• Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar).
• Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline).
• Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus).
• Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred).
• Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability.
• Ability to communicate clearly with both technical and non-technical stakeholders; strong documentation and design skills.

Nice To Haves

• Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns.
• Experience with cloud data platforms and modern lakehouse/warehouse ecosystems.
• Knowledge of data governance practices (metadata, lineage, data quality frameworks).
• Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing).

Responsibilities

• Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions).
• Develop and optimize workflows using enterprise ETL tools; establish reusable patterns for ingestion, transformation, and publish layers.
• Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling.
• Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting).
• Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations.
• Implement validation rules, error handling, auditability, and reconciliation controls; create monitoring/alerting to meet SLAs/SLOs.
• Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency).
• Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements.
• Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities.
• Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed