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Job Description & How to Apply Below
Remote - Nova Scotia, Canada
Brinqa is the leading provider of unified cyber risk management and security analytics. Our software empowers companies to make cyber risk decisions across a wide range of platforms quickly and efficiently.
We help our customers’ cyber security and technology teams discover, prioritize and treat the most important risks based on real-time risk analytics, automated risk assessments, and remediation. With actionable insights and timely communications provided by our software, our customers are reducing their response times to the constantly changing and emerging threats and saving their business from potential negative and significant impacts.
ABOUT
THE ROLE
Brinqa has an immediate need for a Data Pipeline Architect to assist in developing risk management solutions as part of our Cybersecurity Knowledge Platform. We are looking for a senior engineer who can work closely with our Platform Engineering Team and Product Managers to build risk management solutions for Fortune 500 customers. Members of our team enjoy a collaborative work environment focused on delivering real value to large enterprise customers.
In this role, you will develop a highly scalable data pipeline that can process both streaming and batch data sets that the Product Engineering Team will use to develop our risk management features. You will need to use your expertise to ensure the features are highly scalable and performant. This role requires deep expertise in data engineering best practices, cloud-native architecture, and distributed systems, as well as a strong ability to collaborate across engineering, product, and analytics teams.
Brinqa is a data processing and analytics platform that ingests, consolidates, enriches, processes, and persists hundreds of millions of vulnerabilities daily.
The ideal candidate must have a background in providing technical leadership for large-scale SaaS application development. Brinqa is seeking an engineer passionate about delivering high-quality solutions used by some of the world’s largest enterprises. The position reports to a Manager of Software Engineering or above.
If you are looking to build your career with an exceptional team, be part of building something great, and making an impact, you may have found it here at Brinqa!
WHAT YOU'LL DO
Lead the design and implementation of secure data pipelines that support our analytics, AI/ML, and operational needs
Optimize the pipeline for scalability and reliability
Work closely with the data architects to establish the appropriate data models, streaming, and orchestration strategies
Select appropriate technologies, frameworks, and storage solutions to meet business requirements
Optimize pipeline performance and costs
Demonstrate leadership in support of quality initiatives that achieve the expectations of prospects and maintain high renewal rates
Work closely with Dev Ops and Security teams to ensure compliance with security and regulatory standards.
Champion processes that support team‑led work planning, value delivery, and predictable execution
Participate in planning sessions that ensure quality objectives are well understood so that standards and metrics can be established
Deliver predictable operational support for both internal and external consumers of our technologies
Assisting in building a highly capable team based on great talent identification and recruiting
Help ensure that the engineering team is happy, prolific, and autonomous
Maximize the productivity of our technologies by assisting in the development of technical documentation
WHAT YOU'LL NEED
7+ years of experience in data engineering, with at least 3+ years in a senior or architect role
Expertise with data processing frameworks (e.g., Apache Spark, Flink, Beam).
Proficiency in programming languages such as Python, Java, or Typescript.
Experience with orchestration tools (e.g., Airflow, Dagster, Prefect) and data warehousing solutions (e.g., Big Query, Snowflake, Redshift).
Strong knowledge of streaming systems (Kafka, Kinesis, Pub/Sub).
Understanding of data security, encryption, and compliance frameworks…
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