Data Architect, UK

Why Pythian:

At Pythian, we are experts in strategic database and analytics services, driving digital transformation and operational excellence. Pythian, a multinational company, was founded in 1997 and started by ensuring the reliability and performance of mission-critical databases. We quickly earned a reputation for solving tough data challenges. We were there when the industry moved from on-premises to cloud environments, and as enterprises sought more from their data, we expanded our competencies to include advanced analytics.

Today, we empower organizations to embrace transformation and leverage advanced technologies, including AI, to stay competitive. We deliver innovative solutions that meet each client’s data goals and have built strong partnerships with Google Cloud, AWS, Microsoft, Oracle, SAP, and Snowflake. The powerful combination of our extensive expertise in data and cloud and our ability to keep on top of the latest bleeding edge technologies make us the perfect partner to help mid and large-sized businesses transform to stay ahead in today’s rapidly changing digital economy.

Why you:

As a Data Architect you work within a team of globally dispersed architects and consultants, to design and create impactful software powering enterprise data platform solutions mainly focused on Cloud Platforms. You will produce outcomes for real customer projects and help create software artifacts enabling automation of data platform implementations and data migrations.

If this is you, and you wonder what it would be like to work at Pythian, reach out to us and find out!

Intrigued to see what a life is like at Pythian? Check out #pythianlife on LinkedIn and follow @loveyourdata on Instagram!

Not the right job for you? Check out what other great jobs Pythian has open around the world! Pythian Careers

What you will be doing:

• Design and development of end-to-end Cloud-based solutions with a heavy focus on application and data, and a good understanding of infrastructure.
• Working on complex and varied cloud-based projects including tasks such as collecting, parsing, managing, analyzing, and visualizing very large datasets etc.
• Translating complex functional and technical requirements into detailed designs.
• Writing high-performance, reliable and maintainable code.
• Develop test automation and associated tooling needed for the project.
• Work with project leads to understand testing requirements and lead creating/execution of test automation.
• Develop test scenarios and test cases based on requirements.
• Analyze potential issues, perform root cause analysis and assign issues to be resolved.
• Follow up with Engineering team members to see fixes through completion.
• Review bug descriptions, functional requirements and design documents, incorporating this information into test plans and test cases.
• Performing data processing requirements analysis.
• Performance tuning for batch and real-time data processing.
• Securing components of clients’ Cloud Data platforms.
• Diagnostics and troubleshooting of operational issues.
• Health-checks and configuration reviews.
• Data pipelines development - ingestion, transformation, cleansing.
• Data flow integration with external systems.
• Integration with data access tools and products.
• Foundational CI/CD for all infrastructure components, data pipelines, and custom data apps.
• Common operational visibility of the data platform from data platform infrastructure to data pipelines, machine learning apps.
• Assisting client application developers and advising on efficient data access and manipulations.
• Defining and implementing efficient operational processes.

What we need from you:

• Eight or more years in data engineering, with at least three years owning architecture and design decisions.
• Proven hands on delivery. You should be able to point at platforms you designed and also built.
• Deep hands on experience with Databricks or Microsoft Fabric, and working knowledge of the other. Comfortable explaining where each one fits and where it does not.
• Strong Spark and SQL. Solid Python or an equivalent language used in production data work.
• Experience with Delta Lake, medallion architecture, and lakehouse patterns in production, not just in a demo.
• Power BI, including how the semantic model is built and where it should live.
• Solid dimensional and semantic modeling skills. You should have opinions about where business logic belongs and be able to explain why.
• Working knowledge of data governance: classification, lineage, cataloging, and access control.
• CI/CD, version control, and testing practices applied to data work, not just to application code.

What you will receive:

• Love your career: Competitive total rewards package. Blog during work hours; take a day off and volunteer for your favorite charity.
• Love your work/life balance: Flexibly work remotely from your home, there’s no daily travel requirement to an office! All you need is a stable internet connection.
• Love your coworkers: Collaborate with some of the best and brightest in the industry!
• Love your development: Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like!
• Love your workspace: We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalize your work environment!
• Love yourself: Pythian cares about the health and well-being of our team. You will have an annual wellness budget to make yourself a priority (use it on gym memberships, massages, fitness and more). Additionally, you will receive a generous amount of paid vacation and sick days, as well as a day off to volunteer for your favorite charity.

HiringDisclaimer

• The successful applicant will need to fulfill the requirements necessary to obtain a background check.
• Accommodations are available upon request for candidates taking part in any aspect of the selection process.

AI Disclaimer

Pythian may utilize Enterprise Generative Artificial Intelligence (AI) tools or features throughout its hiring process. These tools help us manage high volumes of applications efficiently and may be employed to review applications, analyze resumes, and assist with other recruitment steps. While Pythian uses AI in its hiring process, it does not substitute for human judgment. Our Talent Acquisition Team reviews all AI-generated recommendations, and the system is subject to regular bias audits to ensure fairness and compliance with all applicable employment and human rights laws. All final hiring decisions are made by, and remain the responsibility of, human decision-makers. By applying for this position, you consent to Pythian’s use of these AI tools in the evaluation of your application. You have the right to request a human review of any solely AI-driven decision or to request an accommodation. Should you require further details regarding the processing of your data, please reach out to us.