Principal Data Engineer

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.  Qualifications:   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  Experience with any of the following:  Redis, PostgreSQL, MongoDB, SQL Server  DBT, FiveTran etc.  Numpy, Scipy, Pandas  Airflow, Kafka, AWS, serverless/microservice architecture  #LI-Hybrid      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. It is the policy of the Company to provide equal opportunity for all employees and applicants.  The Company recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to actual or perceived race, color, religion, religious practice, creed, sex, sex stereotyping, pregnancy (which includes pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), caregiver status, gender, gender identity, gender expression, transgender identity, national origin, age, mental or physical disability, ancestry, medical condition, marital status, familial status, domestic partnership status, military or veteran status or service, unemployment status, citizenship status or alienage, sexual orientation, status as a victim of domestic violence, status as a victim of stalking, status as a victim of sex offenses, genetic information, political activities or recreational activities, arrest or conviction record, salary history, natural hairstyle or any other status protected by applicable law except as otherwise required or permitted by law or regulation applicable to the Company or its affiliates.