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Senior Data Engineer

BforeAI is an innovative and rapidly expanding scale-up dedicated to deterring cybercrime through cutting-edge predictive and pre-emptive technologies. We harness the power of prescriptive AI to revolutionize the way we tackle cyber threats, particularly in the realm of brand protection.

Named by Gartner in 26 reports over the last 2 years, BforeAI is the industry’s fastest, most accurate solution for automated protection against online fraud.

We are like weather forecasts for cyber threats. Join us in the fight for a safer cyberspace!

✨ What’s cool about this job

We are seeking a highly skilled Senior Data Engineer to join our team. In this role, you will design, build, and maintain robust data systems that power our predictive cybersecurity solutions. You’ll work closely with cross-functional teams to ensure data quality, reliability, and efficiency, driving insights and delivering value to our customers.

📣 What you’ll be doing

  • Data Architecture & Strategy
    • Add new strategies and evolve the existing data architecture, ensuring seamless data flow from ingestion to transformation, modeling, and delivery for various use cases (operational analytics, BI, machine learning, etc.)
    • Provide thought leadership on big data technologies, streaming architectures (e.g., Kafka), and data warehousing solutions.
  • Data Infrastructure
    • Build, optimize, and maintain highly scalable and fault-tolerant data pipelines using Airflow, Spark, Kafka, Elasticsearch, and MongoDB.
    • Apply best practices in DevOps to automate environment provisioning and pipeline deployments.
  • Data Quality & Efficiency
    • Develop and enforce robust data validation frameworks and monitoring systems to ensure high data quality, reliability, and performance.
    • Optimize ETL/ELT processes and data workflows to minimize latency and maximize throughput for large-scale data transformations.
  • BI & Analytics Tools
    • Implement and maintain existing Business Intelligence tools to provide actionable insights to internal and external stakeholders.
    • Oversee data modeling strategies for self-service analytics
  • Security & Governance
    • Establish and enforce comprehensive data governance practices, ensuring alignment with security, privacy, and compliance standards (GDPR, SOC2).
    • Oversee role-based access control (RBAC), encryption policies, and identity management to safeguard sensitive data assets.
  • Team Leadership & Mentorship
    • Provide technical leadership and mentorship to data engineers, fostering a culture of collaboration, innovation, and continuous learning.
    • Guide team members to meet project and organizational goals.
  • Cross-Functional Collaboration
    • Partner with Product, Engineering, and Customer Success teams to align data systems with business needs and deliver exceptional value to our customers.
  • Innovation & Research
    • Stay up to date regarding emerging data technologies and frameworks; recommend new tools, platforms, or methodologies that can enhance our data capabilities.
    • Evaluate proof-of-concepts (PoCs) for data engineering related solutions when needed by the organization.

💥 You’ll be a great fit if 

  • You have 10+ years of hands-on Data Engineering experience, with a proven track record of architecting and maintaining large-scale data platforms, ideally in the cybersecurity sector.
  • You are highly skilled in Python, SQL, Airflow, Apache Spark, Kafka, Elasticsearch and MongoDB for data ingestion, transformation, and real-time analytics.
  • You have extensive experience in Azure or AWS, focusing on data storage and scalable analytics environments.
  • You are familiar with DevOps practices and containerization (Docker, Kubernetes).
  • You have significant experience with both SQL and NoSQL databases, understanding their trade-offs and best-fit use cases.
  • You have architected and/or optimized data warehouses and are well-versed in ETL, ELT, SCD, OLAP, ROLAP, MOLAP paradigms.
  • You have hands-on experience with BI tools (Tableau / Power BI/ Looker/ Qlik / Metabase) and a strong ability to model data for intuitive dashboards. You are familiar with predictive analytics or advanced statistical modeling.
  • You have led or implemented best practices around data governance, lineage, and data privacy regulations.
  • You understand secure data sharing frameworks, encryption, and access control methods to meet compliance requirements.
  • You are able to guide teams through complex data challenges. You can effectively communicate complex technical concepts to non-technical stakeholders and translate business requirements into scalable solutions.
  • You have relevant certifications such as Azure Data Engineer Associate, MongoDB Certified Associate DBA or Elastic Certified Engineer.

Don't meet every single requirement? Don't count yourself out just yet. Studies show some individuals are less likely to apply to jobs unless they meet every qualification. At BforeAI, we're dedicated to building a diverse workplace based on merit, work ethics, and character, and we believe everyone deserves a fair shot at success!

If you're excited about this role but your past experience doesn't align perfectly with every qualification, we hope you’ll still consider applying!

We use an Employee of Record service to facilitate seamless global hiring processes and offer benefits tailored to the country where you will be working! For countries not supported by our EOR partner, talk to us about being a contractor. In all cases, you will need to be authorized to work in the country you’re based in.

We offer a compensation package up to $130,000 USD per year in CTC (Cost to Company). Cost to Company represents our total investment, which includes all benefits and employer contributions. The final take-home pay will differ due to local tax regulations, selected benefits, and mandatory deductions. The actual offer will be based on the role level, skills, and experience of the candidate. Our compensation structure is thoughtfully designed to align with the expertise and potential impact of each individual.

🚀 Why it’s great to work here

We are a location independent company – no physical office required – and we operate as a fully distributed team. We deeply believe in the value of diversity and inclusivity within our workplace, understanding that these principles lead to a happier team and ultimately a superior product. We offer an intellectually stimulating company environment and you’ll be working with a bright, dedicated team from across the globe. 

If you possess a high level of autonomy and self-organization, and feel you can thrive at BforeAI, we’d love to hear from you! 

💡 Want to know more about BforeAI? 

Average salary estimate

$130000 / YEARLY (est.)
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$130000K
$130000K

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What You Should Know About Senior Data Engineer, BforeAI

Are you ready to take your data engineering skills to the next level? BforeAI, a pioneering scale-up in the world of cybercrime deterrence, is in search of a Senior Data Engineer to join our innovative team. As part of our mission to revolutionize brand protection using cutting-edge prescriptive AI, you'll have the chance to design and maintain robust data systems that empower our predictive cybersecurity solutions. In this role, your expertise in data architecture and strategy will be pivotal as you evolve our data architecture and ensure seamless data flow across various use cases. You will build and optimize highly scalable data pipelines using modern technologies, ensuring high data quality and efficiency. Collaborating with diverse teams, including Product and Engineering, you will align data systems with business needs to deliver exceptional outcomes. Plus, you'll provide leadership and mentorship to fellow data engineers, fostering a dynamic and collaborative work culture. If you're passionate about leveraging big data technologies and making a significant impact in the cybersecurity industry, we want to hear from you. With a competitive compensation package and an opportunity to work in a fully remote environment, this is your chance to contribute to a mission that truly matters!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at BforeAI
What are the key responsibilities of the Senior Data Engineer at BforeAI?

As a Senior Data Engineer at BforeAI, your primary responsibilities will include designing and maintaining data architecture, building scalable data pipelines, implementing data governance practices, ensuring data quality and efficiency, and collaborating with cross-functional teams to meet business needs. You'll also lead and mentor junior engineers, fostering a culture of learning and innovation.

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What qualifications are required for the Senior Data Engineer role at BforeAI?

Candidates for the Senior Data Engineer role at BforeAI should have 10+ years of hands-on experience in data engineering and a proven track record of managing large-scale data platforms, ideally in cybersecurity. Additionally, proficiency in Python, SQL, Airflow, Apache Spark, and Kafka is essential, along with experience in cloud services like Azure or AWS.

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How does BforeAI ensure data quality and security in its data systems?

At BforeAI, data quality and security are top priorities. As a Senior Data Engineer, you'll develop and enforce robust data validation frameworks and monitoring systems. You'll also establish comprehensive data governance practices to align with security, privacy, and compliance standards such as GDPR and SOC2, ensuring that sensitive data assets are safeguarded effectively.

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What technologies will I work with as a Senior Data Engineer at BforeAI?

In your role as a Senior Data Engineer at BforeAI, you'll work with a variety of cutting-edge technologies including Airflow, Spark, Kafka, Elasticsearch, and MongoDB. Moreover, you'll engage with BI tools for analytics and leverage cloud services like Azure or AWS for scalable data storage and processing.

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What is the company culture like at BforeAI for the Senior Data Engineer position?

BforeAI prides itself on fostering a diverse and inclusive company culture. As a Senior Data Engineer, you'll be part of a fully remote and collaborative team. We value autonomy and self-organization, creating an environment where innovative ideas thrive and every team member can contribute to our mission of making cyberspace safer.

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Common Interview Questions for Senior Data Engineer
Can you explain your experience with building scalable data pipelines?

In my previous role, I designed and built multiple data pipelines using Apache Spark and Kafka to ensure efficient real-time data processing. I focused on optimizing ETL processes to minimize latency while maximizing throughput, enabling our analytics team to access data quickly and reliably.

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How do you ensure data quality and reliability in your projects?

To ensure data quality and reliability, I implement robust validation frameworks and monitoring tools that immediately alert the team to discrepancies. Regular audits and updates to data governance practices help me maintain alignment with compliance requirements, ensuring we adhere to best practices.

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What strategies do you use for effective data architecture design?

Effective data architecture design requires understanding both current and future business needs. I typically start with requirements gathering, followed by creating a scalable architecture blueprint, ensuring flexibility while allowing seamless data flow through ingestion, transformation, and delivery across various use cases.

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Can you discuss your experience with cloud platforms like Azure or AWS?

I have extensive experience working with AWS services to build data storage solutions and manage scalable analytics environments. Using tools like AWS S3 for data storage and Glue for ETL processes, I have successfully developed data architectures that are both cost-effective and highly efficient.

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How do you stay updated on emerging data technologies?

I regularly attend webinars, participate in professional forums, and subscribe to industry publications to stay informed about emerging data technologies. Active participation in online courses and tech meetups, as well as networking with other professionals, also helps me keep my skills and knowledge up to date in this fast-paced field.

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What coding standards do you follow when developing data engineering solutions?

When developing data engineering solutions, I adhere to best practices like writing clean, modular, and well-documented code. I utilize version control systems to manage code changes and conduct regular code reviews to ensure quality and maintainability while collaborating with my team.

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How would you approach optimizing ETL processes?

Optimizing ETL processes involves analyzing bottlenecks in data transformation and identifying opportunities for automation. I focus on streamlining workflows by utilizing distributed processing frameworks such as Apache Spark and establishing efficient data partitioning and indexing methods.

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What experience do you have with BI tools for data visualization?

I have worked extensively with BI tools such as Tableau and Power BI to create intuitive dashboards that provide actionable insights. By collaborating closely with stakeholders, I gather requirements to tailor visualizations that drive data-informed decision-making.

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Can you give an example of a challenging data problem you've solved?

One challenging data problem I faced was integrating disparate data sources for a unified view. By utilizing an incremental data loading strategy and incorporating data cleansing techniques, I was able to create a reliable data model that provided actionable insights for the business.

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What leadership style do you employ when mentoring junior data engineers?

My leadership style is collaborative and hands-on. I believe in guiding junior data engineers through their challenges by providing resources, supporting them in problem-solving, and encouraging a culture of continuous learning where they feel empowered to share ideas and take ownership of projects.

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DATE POSTED
January 8, 2025

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