At a Glance
- Tasks: Lead the design and delivery of a cutting-edge Snowflake data platform for global asset management.
- Company: Join a forward-thinking company at the forefront of cloud data solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a significant impact in the financial sector with innovative data solutions.
- Qualifications: Expertise in Snowflake, strong SQL skills, and experience in data engineering.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking a highly experienced Lead Snowflake Expert to design and deliver a next-generation cloud data warehouse and integration platform. This role will be central to building a scalable, secure, and high-performance data ecosystem that supports our portfolio management software used by asset managers globally. You will lead the architecture and implementation of our Snowflake-based data platform, working closely with engineering, product, and client teams to ensure robust data pipelines, seamless integrations, and best-in-class data governance.
Responsibilities
- Architecture & Design: Define and own the end-to-end Snowflake data architecture, including data modelling, storage, and compute strategies. Design scalable ELT/ETL frameworks for ingesting data from internal systems, third-party providers, and client sources. Establish best practices for performance optimization, cost control, and security.
- Implementation & Delivery: Lead hands-on development of Snowflake solutions, including schemas, pipelines, and data transformation. Build and optimize data ingestion pipelines (batch and real-time where applicable). Integrate Snowflake with upstream and downstream systems (APIs, data lakes, reporting tools, etc.).
- Data Integration & Financial Data Expertise: Design robust ingestion and normalization of financial datasets (positions, transactions, market data, pricing, reference data). Ensure data consistency and lineage across portfolio management workflows.
- Governance & Security: Implement data governance frameworks including access control, auditing, and data quality monitoring. Ensure compliance with financial data regulations and client data security requirements.
- Leadership & Collaboration: Act as technical lead across the project lifecycle, mentoring engineers and guiding best practices. Collaborate with product managers, architects, and client teams to translate business requirements into technical solutions. Influence tooling and technology decisions across the data platform.
Skills
- Must have
- Snowflake Expertise: Deep, hands-on experience with Snowflake architecture, performance tuning, and cost optimization. Strong understanding of Snowflake features (e.g., Snowpipe, Streams & Tasks, data sharing, zero-copy cloning).
- Data Engineering: Proven experience designing and building enterprise-scale data warehouses. Strong SQL skills and experience with modern ELT tools (e.g., dbt, Airflow, or similar). Experience with cloud platforms (AWS, Azure, or GCP).
- Integration & Pipelines: Experience building robust data pipelines and integrating with APIs, message queues, and file-based ingestion. Familiarity with semi-structured data (JSON, Parquet, Avro).
- Software Engineering Mindset: Strong understanding of CI/CD, testing, version control, and infrastructure-as-code. Ability to balance architectural thinking with hands-on delivery.
- Nice to have
- Financial Services Domain (Highly Preferred): Experience with asset management data models (portfolios, holdings, trades, valuations). Understanding of market data vendors and financial data workflows. Experience with data cataloging and governance tools. Familiarity with real-time streaming technologies (e.g., Kafka). Exposure to regulatory reporting or risk analytics platforms. Experience working in a SaaS or product-led environment.
Lead Snowflake SME employer: Luxoft
As a Lead Snowflake SME, you will join a forward-thinking company that prioritises innovation and collaboration in the heart of the financial services sector. Our work culture fosters continuous learning and professional growth, offering you the chance to lead impactful projects while mentoring fellow engineers. With a commitment to best practices in data governance and security, we provide a dynamic environment where your expertise will directly contribute to shaping the future of our cloud data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Snowflake SME
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and finance sectors. Attend meetups or webinars related to Snowflake and data engineering. You never know who might have a lead on that perfect job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Snowflake projects, data pipelines, and any cool integrations you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common Snowflake scenarios and challenges. Practice explaining your thought process when designing data architectures or optimising performance. Confidence is key, so let your expertise shine!
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Tailor your application to highlight your Snowflake experience and how you can contribute to our data ecosystem.
We think you need these skills to ace Lead Snowflake SME
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Snowflake SME role. Highlight your Snowflake expertise and relevant experience in data architecture and integration. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of your past projects that demonstrate your hands-on experience with Snowflake and data pipelines.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills! Mention your experience with SQL, ELT tools, and cloud platforms. We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Luxoft
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake expertise before the interview. Be ready to discuss specific features like Snowpipe, Streams & Tasks, and how you've used them in past projects. This will show that you not only understand the platform but can also leverage its capabilities effectively.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience designing and building enterprise-scale data warehouses. Have examples ready that highlight your SQL skills and familiarity with modern ELT tools like dbt or Airflow. This will demonstrate your hands-on experience and technical prowess.
✨Demonstrate Leadership and Collaboration
Since this role involves mentoring and collaboration, think of instances where you've led a project or worked closely with cross-functional teams. Share how you translated business requirements into technical solutions, as this will showcase your ability to lead and communicate effectively.
✨Understand Financial Data Workflows
If you have experience in financial services, be prepared to discuss asset management data models and how you've handled financial datasets. Even if you don't have direct experience, showing an understanding of market data vendors and financial workflows can set you apart from other candidates.
