Data Platform Lead
Microservices Architect
Confirmed live in the last 24 hours
Techruiter

11-50 employees

Flexible tech recruitment services with personalized approach
Company Overview
Techruiter. stands out as a leading tech recruitment company due to its results-oriented approach, flexibility in adjusting to clients' hiring needs, and a vast network of over 50,000 tech experts. Their culture is centered around caring for candidates and providing a seamless experience, as evidenced by their high rating of 4.9 out of 5 based on 768 reviews. The company's competitive advantage lies in its team of knowledgeable recruiters who have successfully filled challenging roles for renowned tech companies, demonstrating their industry leadership and technical expertise.
Consulting

Company Stage

N/A

Total Funding

N/A

Founded

2019

Headquarters

, United Kingdom

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

0%

2 year growth

-15%
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Microsoft Azure
Python
Data Science
Apache Spark
SQL
Apache Kafka
Java
Docker
AWS
Hadoop
Data Analysis
Google Cloud Platform
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
  • Proven experience as a Data Platform Lead or a similar role with expertise in microservices architecture
  • Strong proficiency in cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes)
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data processing frameworks
  • Proficiency in programming languages (e.g., Python, Java) and data querying languages (e.g., SQL)
  • Excellent problem-solving and architectural design skills
  • Strong communication and leadership skills
  • Experience in machine learning or data science is a plus
Responsibilities
  • Lead the design and implementation of a robust data platform with microservices architecture, ensuring scalability, reliability, and flexibility
  • Oversee the development of data ingestion pipelines to acquire, clean, and preprocess data from various sources, making it readily available for analysis
  • Build and maintain microservices that enable data scientists to access and manipulate data, develop ML models, and deploy them into production
  • Collaborate with cross-functional teams to integrate the data platform with other systems, tools, and data sources
  • Continuously optimize the platform for performance, cost-efficiency, and resource utilization
  • Implement robust security measures and ensure compliance with data privacy regulations
  • Maintain comprehensive documentation for platform architecture, APIs, and development processes
  • Mentor and lead a team of engineers and data professionals, fostering a culture of innovation and excellence
Desired Qualifications
  • Experience in machine learning or data science