Lead Solutions Data Architect, Data Engineer

Summary

Join Ekimetrics UK as a Lead Solutions Data Architect in London, leading large-scale digital transformations and building bespoke analytics solutions. You will be responsible for data architecture, mentoring junior team members, and contributing to business development. This role requires a strong technical background and business acumen, with experience in data architecture, data warehousing, and machine learning. Ekimetrics offers a competitive salary, bonus scheme, hybrid working, generous paid time off, comprehensive benefits, and professional development opportunities. The ideal candidate will possess excellent communication skills and a passion for data and innovation.

Requirements

• A Degree in a quantitative discipline such as computer science, Engineering, statistics, or applied mathematics from a leading academic institution is preferred
• 8+ years of experience in solution development such as: Data Analysis, Data Architecture, Data Warehouses (DWH), or Data Lakes in a business setting, preferably in a client-facing, consulting-oriented role
• Passion for data with extensive knowledge and experience in Machine Learning techniques
• Proficiency in Python is required
• Experience with Cloud platforms, specifically Azure and Databricks
• In-depth knowledge and experience in Data Analytics Architecture
• Understanding of Data Governance processes and platforms
• Experience with Data Ingestion and Transformation in data warehouses or data lakes
• Proficiency in Data Visualization tools and techniques (e.g., Tableau, Power BI, etc.)
• Excellent communication skills – especially translating complex technical findings into insights and stories for stakeholders (internal and external)
• A demonstrated ability to develop new and long-lasting client relationships at senior levels across multiple industries and sectors
• An ability to work autonomously and be self-motivated
• A team-oriented and collaborative working style, both with clients and within Ekimetrics
• People management experience and demonstrated ability to develop younger talent and build a high performing team

Responsibilities

• Lead assessments, strategies, and architecture recommendations
• Own the full cycle of the industrialization of data projects, from advisory to audit and review activities, with customers interactions ranging from technical teams to CIOs
• Be responsible for the data engineering code organization as well as data modelling approaches
• Present actionable and easy-to-understand recommendations to drive high levels of adoption within client organizations as well as Ekimetrics business (project) leadership
• Acting internally as an innovator and technical lead
• Be an HR mentor responsible for contributing to the development of more junior team members, including upskilling them on software development
• Share projects and practices within the team and more generally within Ekimetrics, and be an ambassador one of our values: Transmission
• Work in small teams, leading and coaching of anywhere from 2-10 Data science consultants or Data engineers
• Design and scope new projects, using the right analyses to answer client questions
• Participate in pre-sales of Ekimetrics projects
• Deliver with excellence – ensure high client satisfaction and make sure that issues are raised and resolved in a timely manner with no surprises
• Ensure client's business case is achievable and Ekimetrics has the appropriate ability to influence promised outcomes
• Drive high client value and broaden relationships at the most senior levels with current and prospective clients and translate this into new business opportunities for Ekimetrics

Preferred Qualifications

• Knowledge of SQL and Spark
• Professional certifications in data-related fields e.g., Azure Data
• Experience with project management and familiarity with Agile methodologies
• A passion for joining a small team and desire to help the business grow quickly

Benefits

• Competitive Salary + Bonus Scheme
• Hybrid working (2 days a week in the office)
• Work remote anywhere up to 20 days a year
• 25 days annual leave (+ Bank Holidays and additional days for tenure)
• Private healthcare, life insurance, critical illness cover, and professional wellbeing support services
• Group pension scheme
• An emphasis on work-life-balance and a strong company culture
• Unique training programs, certifications and learning opportunities
• Opportunities for international mobility
• Regular socials and events