Senior Data Architect

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Job Overview

At PeakMetrics, we are seeking a Senior Data Architect to join our innovative team. This position focuses on harnessing advanced machine learning to protect enterprises and government agencies from the growing threat of social media manipulation and narrative attacks. Our mission is to empower our customers to effectively identify and respond to digital threats, thereby safeguarding their operations and reputation in the digital landscape.

Responsibilities

The Senior Data Architect will play a crucial role in designing and implementing data systems that support our robust analytical capabilities. This role requires a strategic mindset and a deep understanding of production data systems to ensure data integrity and efficiency. Key responsibilities include:

• Designing data architectures and managing production data systems.
• Collaborating with data scientists and other stakeholders to develop data models for analytics and machine learning use cases.
• Leveraging streaming platforms such as Kafka or AWS Kinesis to enhance real-time data processing capabilities.
• Utilizing data orchestration tools like Temporal, Dagster, or Airflow to facilitate effective data management and pipeline processes.
• Building out experiences with cloud-native data stacks, with a preference for AWS environments.
• Ensuring that AI models are trained, tested, and optimized for domain-specific performance.
• Communicating effectively in a fully remote environment, enabling collaboration across different teams.

Required Skills

Candidates for the Senior Data Architect position should possess:

• A minimum of eight years of experience with production data systems.
• In-depth understanding of streaming platforms like Kafka or AWS Kinesis.
• Familiarity with data orchestration tools such as Temporal, Dagster, or Airflow is preferred.
• Strong background in implementing cloud-native data stacks, especially within AWS.
• Expertise in data modeling, particularly for analytics and machine learning.
• A working understanding of machine learning workflows and principles of feature engineering.
• Proficiency in SQL and Python, with the ability to communicate technical concepts clearly.

Benefits

Working at PeakMetrics comes with a variety of benefits designed to support your professional and personal well-being, these include:

• A remote-first culture that embraces flexibility in work arrangements.
• Competitive compensation that reflects your skills and experience.
• Comprehensive health insurance plans for you and your family.
• A 401(k) retirement savings plan with company matching.
• Flexible work schedules that allow for a work-life balance.
• Unlimited time off, enabling you to recharge when needed.
• Opportunities for professional growth and development, ensuring that you continually advance your skills and career.
• A vibrant and inclusive company culture that values diversity and teamwork.

Salary

While the specific salary for the Senior Data Architect position is not explicitly stated in the job listing, it is important to note that compensation in technology roles, especially in data science and architecture, tends to be competitive, particularly when related to remote positions. Candidates can expect compensation that aligns with industry standards, taking into consideration experience levels and the complexity of the role.

Application Process

Candidates interested in applying for the Senior Data Architect position at PeakMetrics are encouraged to show their qualifications and experience in a detailed application. Highlighting relevant skills and experiences that align with the required skills and responsibilities will better position candidates for consideration.

Conclusion

The opportunity to work at PeakMetrics as a Senior Data Architect represents a chance to be at the forefront of technology addressing critical challenges in the digital age. If you possess the relevant experience, skills, and passion for leveraging machine learning in meaningful ways, this position may be an excellent fit for you.

This job offer was originally published on himalayas.app