The Mission

As a Data Architect at ThreatMark, your primary mission will be to architect and maintain robust data infrastructure and pipelines that support our data-driven decision-making and advanced analytics. You will collaborate closely with our data analysts, data scientists, and engineering teams to ensure our data is precise, accessible, and meaningful, ultimately enhancing the quality of our products. Your work will enable ThreatMark to achieve its business objectives with confidence, backed by reliable and insightful data analysis.

General

• Seniority: Senior (5+ years of experience)

• Hire: Employee or Contractor

• Employment Type: Full-time, Employee or Contractor

• Place of work: Offices in Brno, Bratislava or Prague; Full Remote Possible

Responsibilities

In this role, you will:

• Data Lake Development:

  • Build and maintain infrastructure for storage of structured and semi-structured data in Data Lake.

  • Maintain and develop configuration of Data Lake-related AWS infrastructure and services.

  • Develop and automate data ingestion, ETL processes and maintenance jobs.

  • Create a layer of consolidated data to be used for data analysis and reporting.

• Data Quality and Integrity:

  • Ensure high levels of data quality and integrity across all data sources and pipelines.

  • Implement monitoring and alerting mechanisms to detect and address data issues promptly.

• Performance Optimization:

  • Optimize data processing workflows for performance and efficiency.

  • Address bottlenecks and ensure data pipelines can scale with increasing data volumes.

• Data Security and Compliance:

  • Ensure compliance with relevant data protection regulations and standards.

  • Implement data security measures to safeguard sensitive information.

• Collaboration and Support:

  • Work closely with data analysts and data scientists to understand their data needs and ensure data availability.

  • Provide support and guidance on best practices for data engineering, data analysis, machine learning tasks (e.g. with using AWS services).

• Reporting and Data Analysis:

  • Create and automate data reports with qualitative and quantitative metrics and with data visualizations.

  • Perform exploratory data analysis, compute statistical metrics, provide summaries, insights and interpretations derived from the analysis.

• Feature Prototyping and Validation:

  • Prototype new product features from the source data to enhance our fraud detection capabilities.

  • Validate prototypes or solutions by preparing correctly set-up experiments and measuring adequate statistical metrics.

• Product’s solution design and development (out of Data Lake scope)

  • Participating on solution design and development of product’s components for streaming, processing and storing data.

Qualifications

Must have:

• Proven experience with development of data storage infrastructure (5+ years).

• Knowledge of and experience with:

  • SQL, Python, PySpark, Iceberg, Terraform, AWS Services (IAM, S3, Glue, Lambda, EMR, …), Git, Gitlab CI/CD

  • relational, column-oriented and NoSQL database design

  • statistical metrics used in data analysis (e.g. recall and precision, with scikit-learn)

  • creating data visualizations (e.g. with matplotlib/seaborn/plotly)

• Strong proficiency in building and maintaining ETL and data pipelines.

• Understanding non-technical requirements and points-of-view to be able to create reports and perform data analysis in comprehension of our product’s needs and it’s added value.

• Interest in reaching beyond data engineering to data analysis.

• Excellent problem-solving skills and attention to detail.

• Ability to communicate effectively in English.

What We Value:

• Ownership: A strong ability to take ownership and move towards shared goals without supervision.

• Collaboration: A positive, can-do attitude with no-excuse startup mindset, clear, honest and timely communication.

• Innovation: A fervent passion to learn new skills and technologies, seeking improvement, being open to new ideas, and making data-driven decisions.

• Adaptability: Thriving in a fast-paced and evolving environment, being flexible and ready to take on new challenges.

At ThreatMark, we value diversity and are committed to creating an inclusive environment for all employees. If you are passionate about data analysis and eager to contribute to a team that is making a significant impact in the cybersecurity landscape, we encourage you to apply. Please submit your resume and a brief cover letter explaining your interest in the role and how your skills align with our mission.