Senior Staff Data Architect Software Engineer - Halo Industries, Inc.

The Company

Halo Industries has invented a technology to replace a decades-old semiconductor material slicing process that wastes billions of dollars annually. 

Halo’s laser-based technology eliminates this waste, delivering improvements in both material cost and performance, while enabling manufacturing advancements in a diverse set of high-growth applications markets, including the automotive, grid infrastructure, telecommunications and power electronics sectors.  

Halo originally spun out of Stanford University in 2014, acquiring a significant A round of VC funding in 2020 following the successful demonstration of the company’s precision material slicing equipment.

Halo is now planning its volume manufacturing operations and building a passionate team to meet its next milestone of deploying the company’s first fully integrated production line.

Halo Industries is well-funded, engaged with strategic customers, and staged to achieve rapid operational, revenue, and valuation growth.   

The Opportunity

We are seeking an experienced Senior Staff Data Architect to join our dynamic team. The ideal candidate will be responsible for designing, implementing, and maintaining our data architecture to support high availability, scalability, and security across our platforms. This role requires a strategic thinker who can collaborate with cross-functional teams to develop a comprehensive data strategy that aligns with our business goals.

Job Description

• Design and implement robust, scalable, and high-performance data architecture, with a specific emphasis on setting up high availability clusters to ensure continuous data accessibility and minimal downtime.
• Ensure the security of data assets by implementing industry-standard security protocols and measures.
• Collaborate with IT and business teams to assess and define data requirements.
• Develop and maintain scalable data pipelines for data ingestion, processing, and analysis, ensuring data reliability and efficiency.
• Evaluate and recommend new technologies and tools to improve the efficiency and quality of data management, with a focus on enhancing high availability systems.
• Lead the data governance and quality processes to ensure data integrity and compliance with regulations.
• Provide technical leadership and mentorship to junior team members, sharing knowledge on best practices for high availability and data system scalability.

Requirements

Preferred Education & Experience

• Bachelor's degree in Software Engineering, Computer Science or a related technical field with 10+ years of applicable experience
• Candidates with advanced degrees may qualify for a given position with fewer years of experience.

What We’re Looking For

• Strong knowledge of SQL and NoSQL databases, data warehousing solutions, and ETL tools, with a focus on high availability and fault tolerance.
• Familiarity with cloud-based data services and solutions (AWS, Azure, GCP), especially those related to high availability configurations.
• Excellent analytical, problem-solving, and communication skills, with the ability to lead and mentor others in the development of high-quality data solutions.
• Experience with a variety of programming languages used in industrial automation (preferably including C# and Python, GUI development experience, SEMI E95 helpful)
• Experience with source control (preferably Git)
• Product and process development experience leading to an ability to understand the desired system behaviors
• Outstanding detail-oriented analytical, creative, and problem-solving skills, with the ability to think critically to diagnose issues and optimize complex processes
• Ability to work self-sufficiently with minimal oversight
• Excellent communication skills and the ability to lead and work effectively within an interdisciplinary team
• Desire to play a ground-floor leadership role in a high-growth environment

Bonus

• Semiconductor manufacturing experience
• Experience with Human Machine Interaction systems
• Experience with Manufacturing Execution Systems (MES)
• Experience with SECS/GEM SEMI Standards, Factory Automation, SEMI E30, E10, E95
• Past startup experience and insights/lessons learned on effectively scaling from R&D to production
• Experience selecting and configuring databases and/or interfacing databases to factory automation

Benefits

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Stock Option Plan