Senior Technology Architect_ Databricks in London

Senior Technology Architect_ Databricks in London

London Full-Time 72000 - 88000 £ / year (est.) No working from home possible
Infosys Technologies

At a Glance

  • Tasks: Design and build scalable data pipelines using Databricks and cloud-native platforms.
  • Company: Join Infosys, a global leader in digital services and consulting.
  • Benefits: Competitive salary with bonuses, inclusive culture, and opportunities for growth.
  • Other info: Dynamic work environment with a focus on diversity and sustainability.
  • Why this job: Make an impact by enabling modern data architectures and analytics.
  • Qualifications: Experience with Databricks, data lakes, and strong analytical skills required.

The predicted salary is between 72000 - 88000 £ per year.

We are looking for a Data Architect to design, build, and operate scalable data pipelines and data products, enabling a modern data mesh architecture. The role focuses on integrating legacy systems with cloud-native platforms to support analytics, reporting, and domain-owned data products.

Primary Skills

  • Strong experience with Databricks (Spark, PySpark/SQL) and data lake architectures.
  • Hands-on experience with streaming technologies, especially Kafka / Confluent Kafka.
  • Experience integrating legacy data sources such as DB2 (mainframe) and SQL Server.
  • Working knowledge of AWS data services, especially S3.
  • Understanding of data product thinking, data mesh concepts, and modern data engineering best practices.

Key Responsibilities

  • Build and maintain batch and streaming data pipelines from legacy mainframe DB2 and on-prem SQL Server systems into an AWS-based data lake.
  • Implement real-time ingestion using Confluent Kafka and land data in Amazon S3.
  • Develop data transformations and analytics pipelines in Databricks using the medallion architecture (Bronze, Silver, Gold).
  • Design and deliver high-quality, reusable data products aligned to data mesh principles.
  • Ensure data quality, reliability, security, and governance across pipelines.
  • Collaborate with domain teams, platform teams, and stakeholders to enable self-serve analytics and consumption.

Good to have

  • Experience in banking or financial services data platforms.
  • Familiarity with data governance, metadata management, and regulatory reporting.

Personal

  • High analytical skills.
  • A high degree of initiative and flexibility.
  • High customer orientation.
  • High quality awareness.
  • Excellent verbal and written communication skills.

Senior Technology Architect_ Databricks in London employer: Infosys Technologies

Infosys Portland is an exceptional employer, offering a dynamic and entrepreneurial work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to extensive training resources and benefits such as private medical insurance and generous holiday allowances, all while being part of a globally recognised company that values your contributions and supports your career development in the thriving UK market.

Infosys Technologies

Contact Details:

Infosys Technologies Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Technology Architect_ Databricks in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Infosys Technologies!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Technology Architect_ Databricks at Infosys Technologies.

Leverage Professional Networks

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 Infosys Technologies.

Apply Directly through Our Website

When you find a suitable opening like Senior Technology Architect_ Databricks at Infosys Technologies, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Technology Architect_ Databricks in London

SQL
Python
Data Engineering
Problem-Solving Skills
Communication Skills
Data Governance
Data Pipeline Development

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 Infosys Technologies, 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 Infosys Technologies. 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 Infosys Technologies

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 Infosys Technologies!

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.