Senior Data Platform Architect

Continuus Technologies LLC; Town of Germantown (WI); On-site; USD 150,000 - 230,000; Full time

Job summary

Continuus Technologies LLC seeks a Principal Data Engineer to define the data architecture and long-term technical strategy. You will influence data standards, mentor senior engineers, and partner with executives to scale data platforms.

You will lead complex initiatives, set governance and observability standards, and ensure data platforms support analytics, ML, and product use cases at scale.

Qualifications

• 10+ years of experience in data engineering or related fields.
• Expert-level SQL and Python or similar languages.
• Experience with data warehouses, data lakes and distributed systems.
• Proven ability to design and operate large-scale data platforms.
• Strong systems thinking and architectural decision-making skills.

Responsibilities

• Define and evolve the long-term data architecture and technical vision.
• Design scalable, resilient data platforms and pipelines.
• Set standards for data modeling, reliability, observability, and governance.
• Lead complex, high-risk technical initiatives and migrations.
• Escalation point for critical data incidents and root cause analysis.
• Influence tool selection and technology adoption across the data stack.
• Mentor Staff and Senior Data Engineers and elevate engineering excellence.
• Partner with leadership to align data strategy with business goals.
• Ensure data platforms support analytics, ML, and product use cases at scale.

Skills

SQL

Python

Data warehousing

Distributed systems

Architectural decision-making

Systems thinking

Education

Bachelor's degree in Computer Science / Engineering or related field

Job description

Continuus Technologies LLC seeks a Principal Data Engineer to define the data architecture and long-term technical strategy. You will influence data standards, mentor senior engineers, and partner with executives to scale data platforms.

You will lead complex initiatives, set governance and observability standards, and ensure data platforms support analytics, ML, and product use cases at scale.