Machine Learning Platform Architect

Signifyd

We switched to a 4 day work week in January 2022 (32hrs / week)

Only considering candidates who are eligible to work in Belfast, UK ⚠️

Who Are You

We are seeking a highly skilled and experienced ML Platform Architect to join our dynamic and growing data platform team. As an ML Platform Architect, you will play a crucial role in strengthening and expanding the core of our data products. We want you to help us scale our business, to data-driven decisions, and to contribute to our overall data strategy. You will work alongside talented data platform engineers to envision how all the data elements from multiple sources should fit together and then execute that plan. The ideal candidate must:

  • Effectively communicate complex data problems by tailoring the message to the audience and presenting it clearly and concisely.
  • Balance multiple perspectives, disagree, and commit when necessary to move key company decisions and critical priorities forward.
  • Have a profound comprehension of data quality, governance, and analytics.
  • Have the ability to work independently in a dynamic environment and proactively approach problem-solving.
  • Be committed to driving positive business outcomes through expert data handling and analysis.
  • Be an example for fellow engineers by showcasing customer empathy, creativity, curiosity, and tenacity.
  • Have strong analytical and problem-solving skills, with the ability to innovate and adapt to fast-paced environments.
  • Design and build clear, understandable, simple, clean, and scalable solutions.

What You'll Do

  • Modernize Signifyd’s Machine Learning (ML) Platform to scale for resiliency, performance, and operational excellence working closely with Engineering and Data Science teams across Signifyd’s R&D group.
  • Create and deliver a technology roadmap focused on advancing our data processing capabilities, which will support the evolution of our real-time data processing and analysis capabilities.
  • Work alongside ML Engineers, Data Scientists, and other Software Engineers to develop innovative big data processing solutions for scaling our core product for eCommerce fraud prevention.
  • Take full ownership of significant portions of our data processing products, including collaborating with stakeholders on machine learning models, designing large-scale data processing solutions, creating additional processing facets and mechanisms, and ensuring the support of low-latency, high-quality, high-scale decisioning for Signifyd’s flagship product.
  • Architect, deploy, and optimize Databricks solutions on AWS, developing scalable data processing solutions to streamline data operations and enhance data solution deployments.
  • Implement data processing solutions using Spark, Java, Python, Databricks, Tecton, and various AWS services (S3, Redshift, EMR, Athena, Glue).
  • Mentor and coach fellow engineers on the team, fostering an environment of growth and continuous improvement.
  • Identify and address gaps in team capabilities and processes to enhance team efficiency and success.

What You'll Need

  • Ideally has over 10 years of experience in data engineering, including at least 5 years of experience as a data or machine learning architect or lead. Have successfully navigated the challenges of working with large-scale data processing systems.
  • Deep understanding of data processing, comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing, with strong Apache Spark or Databricks experience.
  • Experience in building low-latency, high-availability data stores for use in real-time or near-real-time data processing with programming languages such as Python, Scala, Java, or JavaScript/TypeScript, as well as data retrieval using SQL and NoSQL.
  • Hands-on expertise in data technologies with proficiency in technologies such as Spark, Airflow, Databricks, AWS services (SQS, Kinesis, etc.), and Kafka. Understand the trade-offs of various architectural approaches and recommend solutions suited to our needs.
  • Experience with the latest technologies and trends in Data, ML, and Cloud platforms.
  • Demonstrable ability to lead and mentor engineers, fostering their growth and development.
  • You have successfully partnered with Product, Data Engineering, Data Science and Machine Learning teams on strategic data initiatives.
  • Commitment to quality, you take pride in delivering work that excels in data accuracy, performance and reliability, setting a high standard for the team and the organization.

#LI-Remote

Our UK benefits:

  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension matched up to 8%
  • ‘Day one’ access to great health, dental and optical insurance scheme
  • Generous annual leave plus public holidays
  • Cycle to Work Scheme
  • Enhanced maternity and paternity leave (12 weeks full-pay for mums & dads, plus 12 weeks half-pay for mums)
  • Regular paid social events organized by our social committee
  • On-Demand Therapy for all employees & their dependents
  • Dedicated learning budget through Learnerbly

We are committed to equality of opportunity for all staff and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

We also want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

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Working Week

We switched to a 4 day work week in January 2022 (32hrs / week)

  • Mon
  • Tue
  • Wed
  • Thu
  • 🏖️
    Fri

Our Vacation Policy

Our vacation policy varies by location e.g. in the USA we offer Discretionary Time Off Policy (unlimited) and in the UK we offer 20 days PTO plus public holidays. For the UK this works out as:

  • 28 days
  • 52 Fridays
  • 80 days off per year

Remote Working Policy

We have offices in San Jose, New York, Denver, Belfast, London, Sao Paulo and Mexico City. Many of us also work 100% remotely.

Company Benefits

  • Health insurance
  • 401K Match
  • Flexible working hours
  • Generous parental leave
  • Dentalcare
  • Equity / options
  • Equipment allowance

Our Team

We're a team of 550 across 19 departments:

  • engineering
    133
  • data science
    61
  • sales
    55
  • support
    42
  • business development
    24
  • operations
    24
  • marketing
    19
  • product management
    13
  • human resources
    13
  • +10 more teams

Desirable Skills and Experience

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