Dir-Data Engineering - Lumi

American Express

strategic and hands-on Director of Data Engineering

Lumi Product team

Key Responsibilities

• Lead design and delivery of

  Lumi data accelerators

  automating migration, transformation, and validation at scale.
• Own the

  end-to-end migration lifecycle

  - from planning and execution to validation and post-migration stabilization.
• Build

  reusable tools, APIs, and frameworks

  that standardize modernization workflows and enable self-service onboarding.
• Develop

  automation pipelines

  for metadata extraction, schema mapping, lineage, and code conversion to

  GCP-native services

  (BigQuery, Dataproc, Dataflow).
• Collaborate with

  Lumi Product

  ,

  UDM

  , and

  Platform

  teams to ensure alignment of frameworks, governance, and platform capabilities.
• Define and enforce

  engineering standards

  for scalability, performance, and cost efficiency.
• Create

  validation and reconciliation frameworks

  ensuring accuracy, completeness, and data quality during and after migration.
• Integrate

  data governance, lineage, and compliance controls

  across all automation pipelines.
• Implement

  observability and reliability engineering practices

  using Prometheus, Grafana, or Stackdriver.
• Oversee

  migration operations

  , ensuring SLA adherence, data integrity, and proactive incident management.
• Define and track

  KPIs/OKRs

  for automation adoption, migration velocity, and operational excellence.
• Mentor and develop

  high-performing teams

  focused on automation, GCP engineering, and platform innovation.
• Foster a culture of

  engineering excellence, collaboration, and continuous improvement

  across Lumi's global teams.

Minimum Qualifications

• 10-15 years in

  Data Platform Engineering, Software Development

  , or

  Cloud Automation

  , leading large-scale data migration or tooling initiatives.
• Bachelor's or Master's degree in

  Computer Science, Engineering

  , or a related field.
• Proven expertise in

  automation frameworks, validation tools

  , and

  data migration engineering

  .
• Strong experience with

  distributed data frameworks

  (Spark, Beam, Flink) and

  GCP services

  (BigQuery, Dataproc, Dataflow, GCS).
• Background in

  metadata management, lineage

  , and

  governance integration

  (Collibra, Apache Atlas, Informatica).
• Proficiency in

  CI/CD

  and

  Infrastructure-as-Code

  (Terraform, Jenkins, Argo, GitHub Enterprise).
• Solid understanding of

  observability, SRE, and fault-tolerant design

  for large-scale data platforms.
• Strong stakeholder management skills and proven ability to lead

  Agile, globally distributed

  engineering teams.

Preferred Qualifications

• Experience in

  BFSI or FinTech

  data modernization or cloud migration programs.
• Exposure to

  AI/ML data pipelines

  for analytics, fraud, or risk modeling.
• Experience implementing

  FinOps

  and cloud cost-optimization strategies.
• Knowledge of

  data compliance and risk management

  in enterprise environments.

• GCP Professional Data Engineer

  or

  Cloud Architect

  certification.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.