At a Glance
- Tasks: Lead the migration to a modern AWS Lakehouse architecture and design scalable dbt projects.
- Company: GlobalLogic, a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Comprehensive health plan, private healthcare, gym discounts, competitive pension, and annual volunteering day.
- Other info: Join a diverse team with a commitment to equality and professional growth.
- Why this job: Make a significant impact by transforming legacy systems into cutting-edge data solutions.
- Qualifications: 5-10 years of experience in dbt, SQL, and cloud technologies.
The predicted salary is between 60000 - 80000 £ per year.
Function: Engineering
Experience: 5-10 years
Location: United Kingdom - London
Skills: Apache Airflow, Apache Iceberg, CI/CD Tools, Databricks, DBT, SQL
As the DBT Architect/Lead Analytics Engineer, you will be the primary technical authority for our enterprise cloud migration. You will lead the transition from a Legacy Teradata environment to a modern AWS Lakehouse architecture. Your mission is to design the foundational dbt architecture that replaces 500+ complex BTEQ scripts with modular, performant, and audit‑ready pipelines supporting Risk, Finance, and Quants.
Requirements
- Design a scalable, DRY dbt project structure and materialization strategy tailored for a regulated enterprise migration.
- Lead the technical conversion of 500+ BTEQ scripts into dbt models, creating custom macros and automated translation patterns.
- Integrate dbt with Astronomer and OpenLineage to ensure end‑to‑end traceability for regulatory compliance.
- Architect a robust testing framework (dbt‑expectations/custom macros) to ensure attribute‑level parity between Legacy and target systems.
- Establish CI/CD deployment pipelines, code review standards, and environment separation to ensure zero‑defect releases.
- Serve as the program’s dbt SME, mentoring the engineering team on advanced modelling and Jinja templating.
Job responsibilities
- Expert‑level dbt Core/Cloud proficiency, including advanced Jinja, macro development, and incremental materialization strategies.
- Deep experience with Databricks (Unity Catalog, SparkSQL) and Apache Iceberg on AWS S3.
- Ability to reverse‑engineer Legacy Teradata/BTEQ and write highly optimised SQL for Databricks.
- Hands‑on experience with Apache Airflow (ideally Astronomer) for managing complex dependency trees.
- Strong mastery of Git workflows, CI/CD for data, and Infrastructure as Code (IaC) principles.
What we offer
We provide a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, a competitive pension scheme, and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation.
dbt Architect/ Lead Analytics Engineer IRC297840 employer: GlobalLogic
At GlobalLogic, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our London office provides employees with extensive health and wellness benefits, opportunities for professional growth, and a commitment to diversity and inclusion, making it an ideal environment for those looking to make a meaningful impact in the field of analytics engineering.
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We think this is how you could land dbt Architect/ Lead Analytics Engineer IRC297840
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We think you need these skills to ace dbt Architect/ Lead Analytics Engineer IRC297840
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!
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Craft a Tailored Cover Letter:For a full-time role at GlobalLogic, 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 GlobalLogic. 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!
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✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨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.
