Why Valtech? We’re the experience innovation company - trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
The role
For the Lead Data Engineer it’s important to have a strong background in data engineering, specifically within Microsoft Fabric and Azure. To effectively manage this project and organize data within Fabric, the ideal candidate should be proficient in SQL and Python as well as dbt. They should also be comfortable with data management, cloud services, and automation tools.
Role responsibilities
Architecture & Strategy
- Design and own the end‑to‑end medallion data architecture within Microsoft Fabric, including Bronze/Silver/Gold standards, modeling patterns, and governance frameworks.
- Define and drive architectural standards, patterns, and best practices across ingestion, transformation, data modeling, lineage, quality, and orchestration.
- Partner as a peer with the Director of Data & Analytics to shape long-term platform strategy, roadmap, and technical decision-making.
- Anticipate downstream implications of architectural choices, proactively guiding decisions that ensure long-term reliability, scalability, and maintainability.
Data Engineering Leadership
- Architect and build highly available, distributed, fault‑tolerant data pipelines supporting batch and real‑time workloads.
- Lead the migration and integration of multiple disparate data sources into the new Fabric-based enterprise platform.
- Define data modeling approaches for enterprise‑scale structured, semi‑structured, and unstructured datasets.
- Establish end‑to‑end standards for ingestion → processing → serving layers.
- Tune and optimize distributed processing across large datasets and high-volume pipelines.
Technical Execution & Hands-on Work
- Develop complex transformations and scalable pipelines using SQL, Python, dbt, and Fabric-native tools.
- Implement automation across the Fabric ecosystem leveraging REST APIs, Data Factory, pipelines, and workflow orchestration.
- Guide and mentor engineering teams on advanced data architecture concepts, distributed systems, metadata management, and platform hygiene.
- Conduct root cause analysis on platform issues, driving permanent solutions rather than short-term fixes.
Collaboration & Influence
- Act as a senior technical authority in design reviews, architectural discussions, and cross‑functional planning.
- Collaborate with analytics, product, and business stakeholders to understand requirements and translate them into architectural solutions.
- Communicate complex technical concepts clearly to both technical and non‑technical audiences.
Must have qualifications
To be considered for this role, you must meet the following essential qualifications:
- 8+ years of experience in data engineering, data architecture, or platform engineering.
- Experience building or migrating enterprise data platforms on Microsoft Fabric.
- Deep expertise with SQL, Python, and distributed data processing.
- Significant experience designing enterprise data architectures and medallion/lakehouse patterns.
- Strong knowledge of modern data platforms — Databricks, Azure Synapse, Microsoft Fabric, Delta Lake, or similar.
- Hands-on experience with cloud-native data engineering (Fabric preferred).
- Expertise building and optimizing large‑scale ETL/ELT pipelines across raw → refined → curated zones.
- Experience with automation and integration using REST APIs.
- Strong analytical thinking, system design skills, and the ability to foresee downstream technical consequences.
- Excellent communication skills and ability to engage as a peer with senior leadership.
- Upper-Intermediate English skills
Nice to have qualifications
- Deep expertise with dbt
- Familiarity with visualization/reporting tools such as Tableau and PowerBI.
- Proficiency scripting in UNIX environment
- Proficiency in big data environments and tools such as Spark, Hive, Impala, Pig, etc.
- Proficiency with cloud architecture components (AWS, Azure, Google)
- Proficiency with data pipeline software such as Airflow, Azure Data Factory, or Prefect
- Familiarity with front and back-end web application stacks and frameworks (JavaScript, HTML, CSS, React/Vue/AngularJS) and API design and usage (REST/GraphQL)
- Experience leading and managing technical data/analytics/machine learning projects
If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.
Commitment to reaching all kinds of people
We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all.
The benefits
This is a full time position based in the United States. The offered salary range is $135,000-185,000 USD annually, depending on experience and location.
Beyond a competitive compensation package, we offer:
- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
- Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts
Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process.
Your application process
Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.
⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.
We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.
About Valtech
Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.
At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.
At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.
Are you ready to create what’s next? Join us.
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