Introduction to Workwarp
At Workwarp, we are passionate about harnessing the power of data to drive business success. As a dynamic and innovative company, we are committed to delivering cutting-edge solutions that transform the way our clients operate. Our team is comprised of talented individuals who share a passion for data engineering, and we are now seeking an experienced Principal Data Engineer to join our ranks. As a Principal Data Engineer, you will play a critical role in building and leading our data platform, leveraging your expertise in Google Cloud Platform to drive success.
Job Overview
We are looking for a highly skilled Principal Data Engineer to join our team in a fully remote role. This is a 6-month contract-to-hire position, offering a competitive compensation package and the opportunity to work with a leading Warehouse Automation domain customer. As a Principal Data Engineer, you will be responsible for building and leading our data platform, leveraging your expertise in Google Cloud Platform to drive success. You will collaborate with other cloud and security architects to ensure seamless alignment within our overarching technology strategy.
Key Responsibilities
- As a senior/principal engineer, you will be responsible for ideation, architecture, design, and development of new enterprise data platforms, collaborating with other cloud and security architects to ensure seamless alignment within our overarching technology strategy.
- Architect and design core components with a microservices architecture, abstracting platform and infrastructure intricacies.
- Create and maintain essential data platform SDKs and libraries, adhering to industry best practices.
- Design and develop connector frameworks and modern connectors to source data from disparate systems, both on-prem and cloud.
- Design and optimize data storage, processing, and querying performance for large-scale datasets using industry best practices, while keeping costs in check.
- Architect and design the best security patterns and practices, ensuring the integrity and confidentiality of our data.
- Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data, collaborating with data scientists, analysts, and cross-functional teams to design data models, database schemas, and data storage solutions.
- Design and develop advanced analytics and machine learning capabilities on the data platform, leveraging your expertise in data engineering to drive business success.
- Design and develop observability and data governance frameworks and practices, ensuring that our data platform is scalable, secure, and compliant with industry regulations.
- Stay up-to-date with the latest data engineering trends, technologies, and best practices, applying your knowledge to drive innovation and improvement within our data platform.
- Drive the deployment and release cycles, ensuring a robust and scalable platform that meets the needs of our clients.
Essential Qualifications
- 10+ years (for senior) or 15+ years (for principal) of proven experience in modern cloud data engineering, with broader data landscape experience and exposure, and solid software engineering experience.
- Prior experience architecting and building successful enterprise-scale data platforms in a greenfield environment is a must.
- Proficiency in building end-to-end data platforms and data services in Google Cloud Platform is a must, with expertise in tools and technologies such as BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, and PubSub.
- Experience with microservices architectures, including Kubernetes, Docker, and Cloud Run, is essential.
- Experience building symmetric layers and hands-on experience with Google Cloud Platform ecosystem and data lakehouse architectures is required.
- Solid experience with architecting and implementing metadata management, including data catalogues, data lineage, data quality, and data observability for big data workflows, is necessary.
- Strong understanding of data modeling, data architecture, and data governance principles, with excellent experience with DataOps principles and test automation, is essential.
- Excellent experience with observability tooling, such as Grafana and Datadog, is required.
Preferred Qualifications
- Experience with Data Mesh architecture is desirable, as is experience building semantic layers for data platforms.
- Experience building scalable IoT architectures is a plus, as is experience with other cloud platforms, such as AWS or Azure.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams, is essential.
- Excellent problem-solving skills, with the ability to analyze complex data engineering problems and develop innovative solutions, is required.
Career Growth Opportunities and Learning Benefits
At Workwarp, we are committed to the growth and development of our employees. As a Principal Data Engineer, you will have the opportunity to work on complex and challenging projects, leveraging your expertise in data engineering to drive business success. You will also have access to ongoing training and development opportunities, including workshops, conferences, and online courses, to help you stay up-to-date with the latest data engineering trends and technologies.
Work Environment and Company Culture
Our company culture is built on a foundation of innovation, collaboration, and mutual respect. We believe in fostering a positive and inclusive work environment, where employees feel valued and supported. As a fully remote company, we offer flexible working arrangements, allowing you to work from anywhere and maintain a healthy work-life balance. Our team is comprised of talented individuals who share a passion for data engineering, and we are committed to delivering cutting-edge solutions that transform the way our clients operate.
Compensation, Perks, and Benefits
We offer a competitive compensation package, including a salary, benefits, and perks. Our benefits package includes health insurance, retirement savings, and paid time off, as well as access to ongoing training and development opportunities. We also offer a range of perks, including flexible working arrangements, remote work options, and a dynamic and supportive work environment.
Conclusion
If you are a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Principal Data Engineer at Workwarp, you will have the opportunity to work on complex and challenging projects, leveraging your expertise in data engineering to drive business success. You will also have access to ongoing training and development opportunities, as well as a competitive compensation package and a range of perks and benefits. Don't miss out on this opportunity to join our dynamic team and take your career to the next level. Apply now!
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