Match score not available

Principal Architect, Data Engineering

extra holidays - extra parental leave
Remote: 
Full Remote
Contract: 
Salary: 
10 - 238K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Bachelor's or master's degree in Computer Science or related field, 8-10 years experience in Data and AI Engineering.

Key responsabilities:

  • Develop data strategy, architecture, and mult-tenant solutions
  • Design database optimization, recovery plans, and incident response
  • Implement big data technologies, cloud strategy, and data quality standards
  • Oversee compliance with data privacy regulations and monitor database operations
  • Collaborate with teams to establish a data center of excellence and communicate security requirements effectively
Interos Inc logo
Interos Inc Information Technology & Services Scaleup https://www.interos.ai/
51 - 200 Employees
See more Interos Inc offers

Job description

About Interos

Interos is the supply chain risk intelligence company – building the most trusted and transparent supply chains in the world. Our pioneering discovery and monitoring intelligence spans the lifecycle of supply chain risk, enabling faster and more informed threat mitigation. As the world’s first, and only, automated supplier intelligence platform, we continuously map and monitor extended supply chains at speed and scale to protect organizations from regulatory fines, unethical labor, cyber-attacks, and other systemic vulnerabilities. Interos serves a variety of commercial, government, and public sector customers around the world including a host of Global Fortune 500 companies and from within the members of the Five Eyes nations. www.interos.ai.

The Opportunity:

The Principal Architect, Data Engineering will play pivotal role in shaping the Interos' data landscape. This hands-on team member will lead the design, implementation, and maintenance of data systems, ensuring scalability, security, and performance. Responsibilities include formulating data strategy, overseeing database management, ensuring compliance with data governance policies, and fostering a collaborative data culture.

Essential Functions/Duties:

  • Develop and maintain the overall data strategy to support the product roadmap and vision.
  • Design and implement data architecture, ensuring scalability, security, and performance.
  • Design mult-tenant solutions which securely persist customer and Interos data.
  • Oversee database design, optimization, and maintenance.
  • Evaluate the database spend and implement improvements for cost optimization while ensuring data consistency, integrity, and availability.
  • Work across engineering and business units to establish a data center of excellence.
  • Monitor compliance with data privacy regulations (e.g., GDPR, CCPA, CCPAIL5).
  • Define data quality standards and implement data cleansing processes.
  • Design procedures to recover critical data to ensure business continuity.
  • Implement big data technologies and practices for large-scale data processing.
  • Define the architecture in order to support a forward-looking cloud strategy to support the company’s growth.
  • Develop and implement incident response plans for data pipelines. 
  • Establish and maintain effective monitoring and alerting systems for timely detection and response to security incidents. 
  • Work closely with technology and product leadership on project and process improvement initiatives.
  • Communicate security requirements and best practices effectively to technical and non-technical stakeholders. 


Minimum Qualifications:

  • Bachelor’s or master’s degree in Computer Science, Information Systems, or a related field.
  • 8-10 years of experience as a Data and AI Engineering within technology or consulting sector.
  • Extensive experience with Snowflake and AWS Postgres.
  • Experience with Kafka
  • Snowpro Core Certification minimum. SnowPro Advanced Architect or Data Engineer a plus.
  • Proficiency in DevOps principles and practices.
  • Strong knowledge of ETL, orchestration, and data integration.
  • Data Clean Room experience a plus.
  • Data Pipeline monitoring tools (e.g. Monte Carlo) a plus.
  • Ability to create business cases for data architecture development.
  • Experience evaluating database technologies and proposing solutions to senior management.
  • Excellent communication skills to convey complex technical concepts to non-technical stakeholders.
  • Ability to take teams through change through communication and managing by influence


Additional Information:

  • Min Years of Rel Exp w/Degree: 8
  • Minimum Degree Requirement: Bachelor’s degree
  • Reports to: SVP of Engineering
  • Location: USA
  • Supervisory Responsibility: This position has no supervisory responsibilities
  • Years of Supervisory Experience Required: 0
  • Travel Requirements: This position does not require travel.
  • Telecommute Option: Yes
  • Work Environment: This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, printers.
  • Physical Demands: This is largely a sedentary role. Physical requirements include occasional lifting/carrying of 5 pounds; visual acuity, speech and hearing; hand and eye coordination and manual dexterity necessary to operate a computer keyboard and basic office equipment. Subject to sitting, standing, reaching, walking, twisting, and kneeling to perform the essential functions. Working conditions are primarily inside an office environment.
  • Compensation range is base salary of $142,500-$237,500. The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position.
  • FLSA Status: Exempt


Benefits:

  • Comprehensive Health & Wellness package (Medical, Dental and Vision)
  • 10 Paid Holiday Days Off
  • Flexible Time Off (FTO)
  • 401(k) Employer Matching
  • Stock Options
  • Career advancement opportunities
  • Casual Dress
  • On-site gym and dedicated Peloton room at headquarters
  • Company Events (Sports Games, Fitness Competitions, Birthday Celebrations, Contests, Happy Hours)
  • Annual company party
  • Employee Referral Program


Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Open Mindset
  • Leadership Development

Data Architect Related jobs