Engineering Manager — Data Platform

Nasdaq’s Data Platform turns messy, multi‑modal content into trusted, governed data that powers business decisions and AI experiences across the company. We’re looking for an Engineering Manager to lead a small, high‑impact team building multi‑agent workflows and “digital workers” that automate data onboarding, processing, transformation, and quality checks—so the right data is accurate, explainable, and on time. You’ll combine people leadership, technical direction, and operational excellence to deliver platform capabilities that others build on: connectors and ingestion, document understanding, entity resolution, ontology alignment, and golden‑record mastering.

What You’ll Lead

People & Team Leadership

• Build, coach, and retain a diverse team of engineers; set clear expectations, growth plans, and feedback rituals.
• Establish healthy engineering practices: design reviews, coding standards, on‑call rotations, and learning time.
• Foster a culture of ownership, psychological safety, and inclusive collaboration across geographies and functions.

Strategy, Roadmap & Delivery

• Co‑own quarterly roadmaps/OKRs with Product; translate strategy into staffed, sequenced work with measurable outcomes.
• Run predictable execution (backlog, sprint/PI planning, risk/dep management) and communicate progress and trade‑offs crisply to stakeholders.
• Partner tightly with Product, Security, and Data Governance; align on outcomes, not just output.
• Balance speed, reliability, and cost—drive continuous improvement against SLOs and error budgets.

Architecture & Technical Direction

• Set the technical bar for AI‑enabled pipelines: multi‑agent orchestration, tool selection, prompt interfaces, evaluation, and guardrails.
• Guide designs for Acquire → Extract → Match → Map → Master flows: idempotent ingestion/CDC, OCR + layout‑aware parsing, entity resolution with explainability, LLM‑assisted mapping, and survivorship‑based mastering (with lineage/SCD2).
• Champion platform standards (e.g., schema/ontology, transformations, lineage/metadata, observability) and re‑usability across teams.
• Own operational excellence: monitoring/alerting, incident response/postmortems, capacity planning, FinOps, and cost/performance tuning.

Qualifications

Required:

• 7+ years in software/data engineering with 3+ years directly leading engineers (people manager or tech‑lead with formal management).
• Proven delivery of data platforms or large‑scale data/AI systems in production with measurable reliability and cost goals.
• Technical depth in: Python, SQL, Bash; distributed data processing (e.g., Spark/Databricks).
• Proficiency with containerization (Docker), Git CICD pipelines, and AWS services (S3, EC2, ECS, EKS).
• Eventing/streaming and batch orchestration
• LLM/agentic patterns (prompting, RAG, embeddings/vector stores) with evaluation and guardrails.
• Strong judgment on trade‑offs (speed vs. safety vs. cost), and clear, concise communication to exec and partner teams.

Nice to Have:

• Experience building multi‑agent systems (tool routing, skill specialization, safety checks) for real‑world workflows.
• Databricks platform design, development administration; Delta/Unity Catalog; Mosaic AI.
• Hiring/interviewing experience and partnering with university programs to build early‑career pipelines

This position offers the opportunity for a hybrid work environment (at least 4 days a week in office, subject to change), providing flexibility and accessibility for qualified candidates.

Come as You Are

Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

What We Offer

We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.

In addition to base salary, Nasdaq offers significant other compensation (annual bonus/commissions and equity), benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

Nasdaq’s programs and rewards are intended to allow our employees to:

• Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
• Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
• Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
• Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
• Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities