Vice President of Data Engineering

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/ $190000 - $200000 annum

INFO

Salary

SALARY:

$190000 - $200000

Location

LOCATION

Job Type
JOB TYPE

Permanent

Vice President, Data Engineer (Finance Data Platforms)
Location: Dalls, Texas
Salary: $190,000 - $200,000 + 50% bonus

This is a high-impact opportunity to lead data engineering and platform initiatives at scale within a complex, global financial environment. You will play a central role in shaping how financial and risk data is standardised, governed, and delivered across multiple business units, with the ability to influence both architecture and strategy while remaining hands-on.

The Company
They are a globally recognised financial services organisation supporting a broad range of investment, risk, and operational functions. Their central engineering teams work across business lines to deliver scalable, enterprise-grade data platforms and shared services. With a strong focus on data governance, regulatory alignment, and platform modernisation, they are investing heavily in building unified data capabilities. This is a collaborative, forward-thinking environment working at the intersection of finance and technology.

The Role
You will take ownership of key data engineering initiatives, acting as both a technical leader and hands-on contributor across data platform development.
  • Lead the design and delivery of scalable data engineering pipelines and systems
  • Drive data standardisation and convergence across finance, risk, and treasury domains
  • Define and influence data architecture, modelling frameworks, and platform strategy
  • Improve data lineage, governance, and regulatory reporting capabilities
  • Work with distributed engineering teams to deliver high-quality, production-grade solutions
  • Mentor engineers and contribute to a strong technical culture
  • Collaborate with business stakeholders to translate complex requirements into data solutions
  • Support the adoption of cloud-based data platforms and distributed processing technologies
Your Skills & Experience
  • Strong commercial experience in data engineering and backend development
  • Expertise in distributed data processing tools such as Spark and related frameworks
  • Experience with modern data platforms such as Databricks or AWS Glue
  • Strong data modelling experience, ideally within financial or regulatory systems
  • Proficiency in Java or Python for large-scale data applications
  • Experience designing and delivering scalable, cloud-based solutions (AWS preferred)
  • Proven ability to lead projects, mentor engineers, and influence technical direction
  • Background in financial services or other regulated environments
What They Offer
  • Exposure to large-scale, enterprise data transformation programmes
  • Clear progression opportunities within a global engineering organisation
  • Collaborative culture with strong investment in modern data technologies
  • Opportunity to shape firm-wide data strategy and standards
How to Apply
If you are interested in leading high-impact data engineering initiatives within a global financial environment, please apply with your CV to learn more.

CONTACT

Lewis Jolly

Recruitment Consultant

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