At a Glance
- Tasks: Lead technical teams and implement data solutions using Snowflake, Azure Data Factory, and Data Bricks.
- Company: Dynamic tech company in the heart of London with a hybrid work culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a collaborative environment that values learning and innovation.
- Why this job: Make an impact by optimising data pipelines and leading innovative projects.
- Qualifications: Proficiency in Snowflake and experience with Azure Data Factory and Data Bricks.
The predicted salary is between 70000 - 90000 £ per year.
Work Location – City of London, UK
Duration – Permanent Position
Hybrid – 3 days onsite and 2 days remote
The Senior Technical Lead will be responsible for leading technical teams and overseeing the implementation of projects related to Snowflake, Azure Data Factory (ADF), and Data Bricks. The role involves ensuring the successful delivery of data solutions and optimizing data pipelines for efficient performance.
Responsibilities
- Lead and manage technical teams, providing guidance and support in the implementation of Snowflake, Azure Data Factory (ADF), and Data Bricks projects.
- Design, develop, and maintain data pipelines using Snowflake, Azure Data Factory (ADF), and Data Bricks to support business requirements.
- Work closely with stakeholders to gather requirements, identify opportunities for data analytics, and propose data-driven solutions.
- Monitor and troubleshoot data pipelines, ensuring data quality, reliability, and performance.
- Stay updated with the latest trends and technologies in data management and analytics, incorporating best practices into projects.
- Collaborate with cross-functional teams to integrate data solutions with existing systems and applications.
- Provide technical expertise and mentorship to team members, promoting a culture of learning and innovation.
Skills Requirements
- Proficiency in Snowflake, including data modeling, querying, and performance optimization.
- Strong experience in Azure Data Factory (ADF) for data integration and orchestration.
- Hands-on knowledge of DataBricks for data engineering, data processing, and machine learning.
- Ability to design, develop, and optimize complex data pipelines for ETL processes.
- Strong problem-solving skills and the ability to troubleshoot data pipeline issues.
- Excellent communication skills to interact with technical and nontechnical stakeholders effectively.
- Strong leadership skills to guide and motivate technical teams toward project delivery and success.
- Experience in agile methodologies and project management practices for efficient project execution.
Must Have Skills
- Snowflake
Good to have Skills
- Azure Data Factory (ADF)
- DataBricks
Other Requirements
- Relevant certifications in Snowflake, Azure Data Factory (ADF), DataBricks are a plus.
Data Team Lead employer: HCLTech
As a leading employer in the heart of the City of London, we offer a dynamic work environment that fosters innovation and collaboration. Our hybrid work model promotes a healthy work-life balance, while our commitment to employee growth through mentorship and continuous learning ensures that you will thrive in your career. Join us to be part of a forward-thinking team that values your contributions and supports your professional development in cutting-edge data technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Data Team Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Snowflake, Azure Data Factory, and Data Bricks. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and analytics. Practice explaining your past projects and how you tackled challenges – confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Team Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Team Lead role. Highlight your experience with Snowflake, Azure Data Factory, and Data Bricks. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for our team. Share specific examples of your leadership and technical expertise that align with the job description.
Showcase Your Problem-Solving Skills:In your application, don’t forget to mention your problem-solving skills. We love candidates who can troubleshoot data pipeline issues effectively, so share any relevant experiences you have!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at HCLTech
✨Know Your Tech Inside Out
Make sure you’re well-versed in Snowflake, Azure Data Factory, and Data Bricks. Brush up on your data modelling, querying, and performance optimisation skills. Be ready to discuss specific projects where you've successfully implemented these technologies.
✨Showcase Your Leadership Skills
As a Data Team Lead, your ability to guide and motivate a team is crucial. Prepare examples of how you've led technical teams in the past, focusing on your approach to mentorship and fostering a culture of learning and innovation.
✨Communicate Clearly with Stakeholders
You’ll need to interact with both technical and non-technical stakeholders. Practice explaining complex data concepts in simple terms. Think of scenarios where you’ve gathered requirements or proposed data-driven solutions effectively.
✨Stay Updated on Industry Trends
Demonstrate your passion for data management by discussing the latest trends and technologies. Mention any recent developments in data analytics that excite you and how you plan to incorporate best practices into your work.
