Data Architect, AssetWatch
+ Equity options
More information about location
Remote monitoring for proactive maintenance
Be an early applicant
Remote monitoring for proactive maintenance
101-200 employees
Be an early applicant
+ Equity options
More information about location
101-200 employees
Company mission
To build the leading proactive maintenance platform for industrial organizations around the world.
Role
Who you are
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field (Master’s preferred)
- 5+ years of experience in data architecture, data engineering, or related fields, preferably with experience in new product development
- Database Systems: Extensive experience with Amazon Aurora MySQL or other MySQL-compatible databases
- Cloud Storage: Proficiency in using Amazon S3 for data storage and integration
- Time Series Databases: Experience with Amazon Timestream or similar time series databases
- Data Modeling: Strong understanding of relational and dimensional data modeling techniques
- ETL Processes: Proven experience with data pipelines, ETL/ELT processes, and data workflow orchestration
- Scripting Languages: Proficiency in SQL and scripting languages such as Python
- APIs and Data Integrations: Experience with RESTful APIs and integrating data across systems
- Strong analytical, problem-solving, and decision-making skills
- Excellent communication and collaboration skills, able to work effectively in cross-functional teams
- Ability to handle multiple priorities in a fast-paced environment
- Experience with Amazon Web Services (AWS) tools beyond Aurora, S3, and Timestream
- Experience with data science product requirements, including familiarity with machine learning workflows
- Knowledge of data visualization tools and practices
What the job involves
- We are seeking an experienced Data Architect to join our team, focusing on New Product Development across web, mobile, and data science domains.
- As a Data Architect, you will play a pivotal role in shaping the architecture of new, data-driven products, ensuring scalability, reliability, and performance across multiple platforms.
- You will be responsible for designing, implementing, and optimizing data solutions using Amazon Aurora MySQL, Amazon S3, and Amazon Timestream, providing technical leadership and strategic direction for the future of our data-driven products
- Architecture Design: Lead the design and architecture of data solutions for new web, mobile, and data science products, ensuring a robust, scalable, and optimized infrastructure
- Data Storage & Management: Design and manage relational databases in Aurora MySQL, time series data in Amazon Timestream, and unstructured data storage in Amazon S3
- Data Pipeline Development: Architect data pipelines for ingesting, processing, and managing data across multiple data sources, focusing on optimizing for both batch and real-time processing
- Product Integration: Collaborate with product and engineering teams to integrate data solutions seamlessly with front-end (web and mobile) applications and back-end analytics platforms
- Data Security & Compliance: Establish best practices for data security, encryption, and compliance with relevant regulations and company standards
- Data Modeling: Develop and maintain logical and physical data models for various product use cases, optimizing for speed and resource efficiency
- Performance Optimization: Implement performance tuning for database queries, storage optimization in S3, and efficient time series data handling in Timestream
- Data Governance: Establish data governance policies, ensuring data integrity, availability, and quality across all platforms
- Cross-functional Collaboration: Work closely with stakeholders across product, engineering, and data science teams to translate business requirements into scalable data solutions
Our take
Across the manufacturing industry, lost production time equates to over $1 trillion of lost revenue each year. Much of this is due to foreseeable errors in machinery, many of which could have been fixed before they broke. AssetWatch, previously known as Nikola Labs, works with manufacturing companies to reduce unplanned downtime in their machinery and technology.
Focused on discovering machinery faults before it is too late, the company's wireless vibration sensors connect to a team of certified vibration experts who leverage machine learning to analyse the data. Hence, its prescriptive and predictive maintenance alerts signal potential faults before failure occurs, thus reducing potential downtime from these machinery faults.
With a wide range of solutions spanning software to IoT, AssetWatch appeals to everyone from factory managers to leadership teams - giving everyone a comprehensive overview of manufacturing health. The company has enjoyed significant funding and growth since its founding in 2014, and is planning to continue expanding and scaling up the business.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (last 2 of 8 rounds)
May 2024
$38m
SERIES B
Jun 2022
$9m
SERIES A
Total funding: $75.7m
Company benefits
- Equity options
- Flexible work schedule
- Full benefits and 401K + 401K Match
- Opportunity to make a real impact every day
- Unlimited PTO
Company values
- PROFESSIONALISM
- INTEGRITY
- FLEXIBILITY
- SOLUTION ORIENTATED
- RELATIONSHIP FOCUSED
Company HQ
Westerville, OH
Articles
Leadership
Will Zell
(Executive Chairman)Previously CEO of AssetWatch. Currently Founding Partner of Ohio Angel Collective, Founder of Vessel, and is on the Advisory Board for IKOVE Venture Partners.
Share this job
View 7 more jobs at AssetWatch