Senior Data Platform Engineer

Signifyd is a SaaS company specializing in data-driven solutions and platform engineering.
Data
Senior Software Engineer
Hybrid
5+ years of experience
Enterprise SaaS

Description For Senior Data Platform Engineer

Signifyd is seeking a Senior Data Platform Engineer to join their data platform team. This role combines technical expertise with leadership responsibilities, focusing on developing and maintaining robust data infrastructure. The position requires extensive experience in data engineering, with emphasis on large-scale data processing and storage solutions. The ideal candidate will work with cutting-edge technologies like Spark, Databricks, and cloud services, while collaborating with cross-functional teams including Data Scientists and ML Engineers.

The role offers an opportunity to impact the organization's data strategy through designing and implementing scalable solutions, mentoring team members, and driving innovation in data processing. The position comes with attractive benefits including stock options, performance bonuses, comprehensive health insurance, and professional development opportunities through a dedicated learning budget.

As a Senior Data Platform Engineer, you'll be responsible for proposing and implementing data solutions, managing data warehousing, ensuring platform health through monitoring systems, and collaborating with various teams to develop innovative big data processing solutions. The role requires both technical excellence and strong leadership skills, making it ideal for someone who wants to make a significant impact in a dynamic, data-driven environment.

The company values quality, innovation, and collaboration, offering a hybrid work environment and comprehensive benefits package. This role is perfect for experienced data engineers who are passionate about solving complex data challenges and want to contribute to building and scaling sophisticated data platforms while mentoring others in their technical journey.

Last updated a day ago

Responsibilities For Senior Data Platform Engineer

  • Develop and maintain data infrastructure
  • Design and deploy scalable data solutions on Cloud Solutions
  • Implement CI/CD processes
  • Collaborate on data products and align with stakeholders
  • Manage data warehousing solutions and costs
  • Build systems for observability, monitoring, and alerting
  • Work with cross-functional teams on big data processing solutions
  • Mentor team members
  • Implement data solutions using cutting-edge technologies
  • Apply statistical analytical techniques

Requirements For Senior Data Platform Engineer

Python
Kafka
MongoDB
  • 5+ years of experience in data engineering, including 3+ years in a senior role
  • Hands-on expertise in data technologies (Spark, Airflow, Databricks, Kafka, AWS/GCP)
  • Programming experience with Python, Scala or Java, and SQL
  • Deep understanding of data processing and working with multi-terabyte datasets
  • Experience partnering with Product, Data Engineering, Data Science and Machine Learning teams
  • Familiarity with databases and analytics technologies
  • Mentorship experience
  • Strong analytical and problem-solving skills
  • Excellent communication skills

Benefits For Senior Data Platform Engineer

Equity
Medical Insurance
Parental Leave
Mental Health Assistance
Education Budget
  • Stock Options
  • Annual Performance Bonus or Commissions
  • Pension matched up to 3%
  • Day one access to great health insurance scheme
  • Enhanced maternity and paternity leave (12 weeks full-pay)
  • Paid team social events
  • Mental wellbeing resources
  • Dedicated learning budget through Learnerbly

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