Who are we?
For the past 20 years, we have powered many Digital Experiences for the Fortune 500. Since 1999, we have grown from a few people to more than 4000 team members across the globe that are engaged in various Digital Modernization. Our current focus and innovation in Digital Hyper expansion TM offers nearly limitless opportunities for career growth. For a brief 1-minute video about us, you can check out https://youtu.be/uJWBWQZEA6o.
Photon is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We bring out the best in each other.
We have an outstanding technology opportunity in the Data Engineering Chapter to deliver modern data solutions to the Corporate Technology Group (CTG). As Principal Data Engineer you will lead the design and development of data services in support of the Enterprise Data Lakes and Analytics Platform.
In this role you set out the technical direction for the team. You will work closely with our data architect to craft secure, scalable, resilient cloud-based services. As the most senior technical member of your team, you will guide other specialists and help develop their technical skills.
The Expertise we’re looking for
- Bachelors or Masters in a technology related field (e.g. Computer Science, Engineering etc.) required.
- 6-9 years of related experience in data engineering, analysis, data warehouses, data lakes. Specialist understanding and experience of methodologies like data warehousing, data visualization and data integration.
- Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), preferably Snowflake or other Cloud Data warehousing services.
- Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers.
- Practical experience delivering and supporting Cloud strategies including migrating legacy products and implementing SaaS integrations.
- Proven experience in understanding multi-functional enterprise data, navigating between business analytic needs and data, and being able to work hand-in-hand with other members of technical teams to execute on product roadmaps to enable new insights with our data.
- Crafted and implemented operational data stores, as well as data lakes in production environments.
- Experience with DevOps, Continuous Integration and Continuous Delivery. Developing and deploying pipelines. Deploying within a cloud native infrastructure would be advantageous.
- Able to work collaboratively with a geographically diverse team.
The Skills you bring
- Proven track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design & coding best practices.
- Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.
- Ability to develop ELT/ETL pipelines to move data to and from Snowflake data store using combination of Python and Snowflake SnowSQL.
- Knowledge and expertise of data modelling techniques and best practices (Relational, Dimensional), plus any prior experience with data modelling tools (eg. PowerDesigner).
- Prior experience with Data ingestion tool sets (e.g Apache NiFi, Kafka) is advantageous.
- Experience in working with AWS, MS Azure or other cloud providers. Experience with AWS services such as Lambda or S3, AWS Certification.
- Experience in Data Architecture (Database design, performance optimization).
- You have excellent written and oral communication skills.
- Strong Focus on resiliency & reliability.
- Nice to have: Scripting/coding experience in any of the following: Python, Unix, Java.
The Value you deliver
- Simplifying and effectively communicating technical challenges, solutions options, and recommendations to business partners and technology leadership.
- Provide technical leadership and support in data and solutioning to team members (coaching others to their full potential).
- Produce scalable, resilient, cloud-based systems design aligned with our long-term strategy.
- Collaborate with chapter leads, squad leads, tech leads and architects on setting the technical roadmaps.
- Recognizing opportunities to bring emerging technologies to deliver innovative solutions to meet business challenges.
- Understand detailed requirements and deliver solutions that meet or exceed customer expectations.
- Take ownership and accountability.
- Adaptability to a changing and challenging workload.
