datatonic - Principal Google Cloud Architect
Requirements
• Educational Background: Bachelor’s or Master’s degree in Computer Science or a related technical discipline. • Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. • End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. • Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. • Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. • Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. • Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. • Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. • Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. • Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. • Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. • Certifications: Google Cloud or AWS Certified Solutions Architect certification. • ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. • Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. • Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. • Agile Methodologies: Familiarity with Agile frameworks, including Scrum. • Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. • Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.
Responsibilities
• Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. • Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. • Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies. • Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. • Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. • Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. • Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. • Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. • Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials. • Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. • Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. • Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.
Benefits
• We believe in empowering our team to thrive, with benefits including: • Holiday: 25 days plus bank holidays (obviously!) • Health Perks: Private health insurance (Vitality Health) and Smart Health Services • Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym). • Hybrid Model: A WFH allowance to keep you comfortable. • Learning & Growth: Access to platforms like Udemy to fuel your curiosity. • Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%) • Life Insurance: (3 x your base salary!) • Income Protection: (up to 75% of base salary, up to 2 years) • Cycle to Work Scheme • Are you ready to make an impact?
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