Director, Data Platform Engineering

London, London, United Kingdom

InvestCloud

InvestCloud powers digital transformation in financial services. Scale your business with digital wealth management and APL network access today.

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Key Responsibilities:

  • Lead the design, development, and maintenance of scalable data platforms and pipelines.
  • Enable data scientists by providing robust data products and data catalogs.
  • Implement cloud-based data solutions using AWS, Snowflake, Databricks, and similar technologies.
  • Manage and secure sensitive data and PII, ensuring compliance with regulatory standards.
  • Collaborate with cross-functional teams to understand and fulfill data requirements.
  • Drive the modernisation of tech platforms and promote data-driven decision-making.
  • Mentor and lead a team of data engineers, fostering a collaborative and innovative environment.

Required Skills and Experience:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Minimum of 8 years of experience in data engineering or a related role, with leadership experience.
  • Extensive experience with AWS data platform tools, Snowflake, and Databricks.
  • Strong expertise in building and optimizing data pipelines, ETL/ELT processes, and data architectures.
  • Proficiency in programming languages such as Python and SQL.
  • Familiarity with data security best practices and compliance regulations.
  • Excellent problem-solving skills and the ability to handle complex datasets.
  • Outstanding communication skills for effective collaboration with global teams.
  • Experience with data-driven AI/ML projects is a plus.
  • Use of AI tools (e.g. Cursor, Windsurf, co-pilot etc) to enhance engineering productivity

Preferred Skills:

  • Experience with real-time data processing and streaming platforms such as Apache Kafka.
  • Knowledge of data warehousing and data lake architectures.
  • Familiarity with governance frameworks for data management and security.
  • Knowledge of Machine Learning frameworks (TensorFlow, PyTorch, Scikit-learn) and LLM frameworks (e.g., Langchain).

What We Offer:

Join our diverse and international cross-functional team, comprising data scientists, product managers, business analysts, and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience.

Location and Travel:

The ideal candidate will be expected to work from the office (with some flexibility). Occasional travel may be required.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Computer Science Databricks Data management Data pipelines Data Warehousing ELT Engineering ETL Kafka LangChain LLMs Machine Learning Pipelines Python PyTorch Scikit-learn Security Snowflake SQL Streaming TensorFlow

Region: Europe
Country: United Kingdom

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