Remote Principal Data Architect — IoT & Platform Leadership

Tenna; United States; Remote; AUD 180,000 - 240,000; Full time

Benefits offered by this job

401k match

Paid Time Off

Volunteer Time Off

Dependent Care

Employee referral bonuses

Benefit package beginning date

PTO and Volunteer Time Off

Job summary

Tenna is seeking a Principal Data Engineer to own data architecture across our connected equipment platform. You’ll design data systems, pipelines, and APIs, guiding engineering teams from ingestion to analytics, with a strong emphasis on architecture and standards.

The role reports to the CTO and requires 12+ years in data engineering or software development, plus 2+ years of architectural leadership. Remote nationwide, travel 8-10%.

Qualifications

• 12+ years of professional data engineering or software development experience.
• 2+ years providing architectural direction and design oversight to engineering teams.
• Bachelor of Science in Computer Science, Data Engineering, or equivalent experience.
• Strong SQL; NoSQL is a plus.
• Experience with Python for data engineering workflows; Node.js a plus.
• Experience with distributed data processing frameworks such as Apache Spark or Apache Flink is a plus.
• Experience with data orchestration tools such as Apache Airflow or similar is a plus.
• Experience with containerized deployments, especially using Docker, is highly preferred.
• Experience with large-scale data systems and data warehousing solutions is highly preferred.

Responsibilities

• Owns organizational-wide data architecture, defining standards, patterns, and designs that our teams will implement.
• Reviews data-related designs and implementations across teams for architectural consistency, performance, and scalability.
• Produces reference implementations, proofs of concept, and hands-on guidance when teams encounter complex data engineering challenges.
• Designs and develops data pipelines, integrations, and platform features with performance and scalability in mind.
• Builds and maintains data APIs and ingestion systems that can handle complex, high-volume data efficiently.
• Takes responsibility for the quality of data systems across the organization, including testing strategies and data integrity standards.
• Owns the data architecture strategy across the platform, including database design patterns, data API standards, and data flow architecture.
• Consults with product managers to define, scope, and plan new data features and capabilities.
• Partners with the CTO and engineering leadership on strategic data initiatives and long-term architectural direction.
• Partners with teams to define data quality standards, automated data validation patterns, and testing strategies for data pipelines.
• Partners with engineering and product teams to design and support data infrastructure for AI/ML initiatives, including model training pipelines, feature stores, and inference data flows.
• Designs the IoT data ingestion and distribution architecture to support data from a significantly expanding device fleet.
• Tests, evaluates, and recommends technologies to improve our overall data infrastructure.
• Produces excellent documentation.

Skills

Architectural leadership

Data architecture

Stakeholder collaboration

SQL

Python

Apache Spark

Apache Airflow

Docker

AWS

IoT data

Education

Bachelor of Science in CS/Data Eng

Tools

Docker

Apache Airflow

AWS

Redshift

Job description

Tenna is seeking a Principal Data Engineer to own data architecture across our connected equipment platform. You’ll design data systems, pipelines, and APIs, guiding engineering teams from ingestion to analytics, with a strong emphasis on architecture and standards.

The role reports to the CTO and requires 12+ years in data engineering or software development, plus 2+ years of architectural leadership. Remote nationwide, travel 8-10%.