At a Glance
- Tasks: Lead technical architecture for Power Platform and Snowflake, ensuring optimal performance and integration.
- Company: Join a leading financial services firm with a focus on innovation and technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a strong emphasis on career development and mentorship.
- Why this job: Make a significant impact by optimising data solutions in a dynamic tech environment.
- Qualifications: Experience in software architecture, data integration, and team leadership required.
The predicted salary is between 70000 - 90000 £ per year.
Critical dual-mandate role serving as the primary technical authority for both Microsoft Power Platform and Snowflake supporting MSFT E360 Platform.
Bridges business and technology, owns end-to-end solution architecture, data integration strategy, platform performance optimization, and governance across application and data platforms.
Responsible for ensuring scalability, reliability, and alignment with enterprise architecture standards.
Key Responsibilities Ability to own the end-to-end technical architecture for Power Apps/Power Automate solution design, RBAC model, and downstream export design.
Conduct structured assessments of E360 platform performance across Power Apps, Power Automate, identifying bottlenecks, latency patterns, and scalability constraints.
Analyze application telemetry, data load characteristics, API call volumes, and workflow execution logs to diagnose root causes of performance degradation.
Produce documented performance findings with prioritized, actionable remediation recommendations mapped to impact and delivery effort.
Act as technical counterpart to Morgan Stanley's E360 Tech Lead ensuring solution alignment to firm architecture, security, and governance standards.
Collaborate with Morgan Stanley's internal SME team to align optimization work with the E360 platform roadmap and upcoming enhancement priorities.
Lead technical design and optimization of Snowflake-based data architectures supporting Power Platform applications, reporting, and analytics workloads.
Define and govern end-to-end data integration patterns between Snowflake, Dataverse, enterprise APIs, and downstream reporting platforms.
Analyze Snowflake query performance, data pipelines, warehouse utilization, and data modeling approaches to identify optimization opportunities and reduce latency.
Partner with Data Engineering teams to establish secure, scalable, and governed data solutions leveraging Snowflake best practices.
Ensure alignment of Power Platform solutions with Snowflake data architecture, RBAC controls, data governance standards, and enterprise security requirements.
Translate BA- and Data BA-authored requirements into detailed technical specifications, component designs, and integration contracts.
Guide and govern Power Platform Developers and QA Engineers through build, test, and deployment phases; serve as primary technical escalation point.
Own the technical delivery plan, sprint-level task breakdown, cross-team dependency management, and design/code review governance.
Maintain solution design records, integration specifications, data mapping, and deployment runbooks to ensure long-term supportability.
Skills produce clear architecture documentation.
Agile/Scrum delivery experience in outcome-based, fixed-fee engagement structures with phase gates.
Preferred Qualifications Prior experience on workforce reduction, compensation, or talent management platforms in financial services or similarly regulated industries.
Power BI development experience for operational and compliance reporting dashboards (adverse impact, headcount impact).
Experience with Java-based API services and DDP-style data distribution architectures.
Snow Pro Certification or equivalent Snowflake implementation experience.
Experience supporting large-scale financial services, workforce management, or regulatory reporting solutions leveraging Snowflake. #J-18808-Ljbffr
Power Platform/Snowflake Tech Lead employer: Nexify Infosystems
As a Data Engineer at our London office, you'll be part of a dynamic team that values innovation and collaboration, working just two days a week onsite. We offer a supportive work culture that prioritises employee growth through continuous learning opportunities and exposure to cutting-edge technologies in big data. Join us to make a meaningful impact while enjoying the unique advantages of working in one of the world's most vibrant cities.
StudySmarter Expert Advice🤫
We think this is how you could land Power Platform/Snowflake Tech Lead
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Nexify Infosystems.
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We think you need these skills to ace Power Platform/Snowflake Tech Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Nexify Infosystems, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Nexify Infosystems. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Nexify Infosystems
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Nexify Infosystems!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
