Bachelor's degree in a technical field or equivalent practical experience
Deep expertise in designing and implementing various stages of Data lifecycle (from ingestion to distribution) using Snowflake as the core platform.
10+ years of experience with implementation of ETL/ELT pipelines, data governance, data quality controls, data version control, meta data management, and reporting analytics using cloud data technologies.
Experience messaging and streaming platforms such as Kafka, RabbitMQ, or cloud-based messaging technologies.
Experience with Python or equivalent dynamic languages
Experience with C#, Java Typescript, or equivalent static languages
Experience with Relational and Non-Relational databases and related schema design and development
Working knowledge of Observability and DevOps concepts, tools, and continuous delivery pipelines.
A deep understanding of cybersecurity best practices and a demonstrated ability to integrate best practices into development activities
Preferred Competencies:
Interest and ability to learn other coding languages as needed
Ability to write in English fluently and idiomatically
Advanced degree in a technical field or equivalent experience in engineering or practical experience
Experience with agile/scrum methodologies
Financial services industry experience
Testing competencies with Test Driven Development, Behavioral Driven Development
Dimensional offers a variety of programs to help take care of you, your family, and your career, including comprehensive benefits, educational initiatives, and special celebrations of our history, culture, and growth.
Additional Information
Job Description:
You may be a fit for this role if you: Have agency: feel empowered to influence outcomes, rather than being passive.
Are open-minded, curious, and resourceful
Are passionate about/stay current with modern technologies
Solve problems systematically and transparently
Share ideas, solicit/integrate feedback, design and solve collaboratively
Take a software engineering approach and demonstrate automation and security mindsets
What you might work on:
As a Principal Data Engineer at Dimensional, you will have the opportunity to understand the users' needs and solve problems like database and schema design and engineering, ETL pipelines, APIs, and microservice design and engineering.
Accountable for the design, engineering and ongoing operations of robust, secure, and maintainable data architectures, pipelines, and services.
Collaborate with data stewards, database administrators, platform engineers, developers, and site reliability engineers to develop and launch solutions for data ingestion, validation, quality control, integration, storage, management, and delivery.
Independently work with clients to transform business objectives into technical designs, applications, and solutions. Participate in and contribute to the design of agile teams and ceremonies.
Stay current on technology trends by learning and evaluating modern technologies. Advise business clients on technical capabilities as a data service provider / expert.
Participate in code reviews and contribute to making continuous improvements to the team's dev ops processes.
Provide mentorship to junior team members and provide strategic input to senior management across various business and technology units.
The successful candidate will be self-motivated and have a strong drive for learning and self-improvement while working within an engineering focused delivery team with cross-team departmental collaboration.
Dimensional · Austin