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Senior Data Architect

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PubNubRaleigh, NC
  • PubNub is a developer API platform for virtual spaces, powering apps that bring people together in real time for remote work, play, learning, and health.
  • Thousands of companies use PubNub as the foundation for online chat, live events, geolocation, remote control, and live updates, all at massive global scale.
  • Our platform delivers trillions of "messages" per month, more than twice the number of global monthly Twitter or SMS messages.
  • Admired companies such as Adobe, Atlassian, DocuSign, Peloton, TicketMaster, and RingCentral rely on our tools and global infrastructure to power their services.
  • PubNub has raised over $70M from notable investors like Sapphire, Scale, Relay, Cisco, Bosch, Ericsson, and HPE. PubNub is proud to be an EEO employer.
  • Bring order into data chaos!
  • PubNub is looking for a hands-on, experienced data architect who is a visionary, self-directed and comfortable supporting the various data & analytics needs of multiple teams, systems and products.
  • You would be excited by the prospect of optimizing or even re-designing the company's data architecture to support next generation architectures & processes that meet both internal & external needs.
  • Most importantly, you are familiar with working with petabytes of real-time data in a modern data tech stack.
  • Be the enterprise-wide technical lead for data.
  • You will define the enterprise data strategy and roadmap to make data analytics a competitive advantage.
  • You will engage and partner with stakeholders in the Business, Product and Engineering teams to ensure the strategy and data infrastructure built support their data reporting & analytics needs while assisting with data-related technical issues.
  • Designing the data blueprint.
  • You will visualize, design and prepare data in a framework that can be utilized across the enterprise by product managers, engineers and data / business analysts.
  • You will identify, plan and implement internal process improvements that could include re-designing infrastructure for greater scalability and lower latency, optimizing data delivery for extraction, transformation & data loading, and automating manual processes.
  • Providing data-driven solutions to business problems.
  • You will build analytical tools to utilize the data pipeline, extracting data analytics into key business performance metrics including operational efficiency and customer acquisition & retention.
  • You will partner with product management in building POCs and building revenue-generating solutions.
  • Driving the execution of the strategy and building.
  • You will build, lead and drive a team to build what's needed by the enterprise, from providing billing data to production support data to business insights for clients.
  • You will simplify the data flow, aim for low latency, reduce data confusion, optimize cost and work towards a "single source of truth."
  • 8+ years of data architect experience with focus on data modeling and design, data integration and application development, master and metadata management, and analysis
  • Extensive experience in integration of SaaS data/processes from various source systems into enterprise data foundation
  • Extensive hands on experience in designing data warehouse models, ELT & ETL processes, and BI development
  • 8+ years working with modern languages like Python, Scala, Java
  • Advanced SQL knowledge and experience with SQL DBs like MySQL, PostgreSQL
  • Strong Object Oriented design skills with deep knowledge of architecture and design patterns
  • Expert knowledge of best practice software development methodologies and coding standards
  • Production experience with Big Data Technologies e.g. Apache Spark, Hive, Presto/Trino, Hadoop
  • Past experience in public cloud deployments (AWS, Google Cloud Platform, Azure etc
  • Strong experience collaborating with stakeholders and users in areas of Business, Product and Engineering to understand, document, and implement data & analytics needs
  • BS in Computer Science, related field or relevant experience
  • Data visualization experience with tools like Superset, Tableau, Kibana, Mode Analytics
  • Experience with data streaming e.g. Spark Streaming, Kafka
  • Experience with CI/CD
  • Experience with NoSQL DBs like Cassandra, Redis, CouchDB, Elasticsearch
  • Database optimization and management skills
  • Previous experience with Python frameworks like Flask
  • Ideally experienced managing application deployments with Docker and Kubernetes.
  • Experience with Airflow
  • Agreed with your team unlimited (within reason) paid time off
  • All the hardware that you need to work effectively
  • Budget for home office setup
  • Monthly stipend for phone, internet, sport and healthcare
  • Location: US East Coast

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