Lead Data Architect

We believe in a world where growth thrives across borders and cultures. As an EOR, Atlas employs people to work for companies anywhere in the world. Before we came along, the only businesses offering a similar solution were essentially brokers. They'd outsource your HR and payroll services to third-party providers in different countries. Today, we're the only 100% Direct EOR in the world, partnering with clients to get to market 82% faster, at a reduced cost, and with lower risk through local expertise in over 160 countries.

Atlas technology powers the idea that companies can employ whoever they want, wherever they are in the world. Through our cloud-based platform, we deliver the Human Resources infrastructure that underpins international growth, leaving companies free to focus on the strategy that makes it happen. We partner with our clients through their international life cycle from the first dip in the global pool until the moment it's time to set up their own entities and run payroll. Atlas is here from point A to point Z.

The future of work is borderless, and so are we. So, it helps that our people are located around the globe — in the US, UK, India, China and beyond — and speak 90+ languages. Diversity and inclusion are at our core.

Atlas invests in Environment, Social and Governance initiatives through our impact program. Impact is central to our vision as a business and at the heart of our culture. Through impact we are addressing our environmental impact for society, for the planet and for our long-term success. Employee wellness, diversity and charitable activities are at the core of our social responsibility. Impact ensures Corporate Governance operates ethically and responsibly while preserving our customers and employees' trust.

Lead Data Architect

We're seeking a Lead Data Architect to join our team, someone who thrives as a collaborative team member and is eager to shape this pivotal role with fresh perspectives and inventive solutions. As the Lead Data Architect, you'll directly report to the Director of Global Architecture and play a key role in bolstering our data platform, supporting both our esteemed data scientists and our proactive product development teams.

Key Responsibilities
- Architect scalable data processing and analytics solutions for both OLTP and Big Data storage, processing, and consumption.
- Clearly articulate pros and cons of various technologies and platforms while proposing solutions.
- Define architecture, blueprints/patterns, accelerators & interoperability standards.
- Define data security and data privacy standards for solutions with a working knowledge of GDPR and the HR domain.
- Drive the evolution of data architecture and own the product data models.
- Lead architectural discussions and design workshops with internal stakeholders.
- Create technical documentation, data models and diagrams.
- Be a Data Ambassador / Data Evangelist.

About You
- You have a bachelor's degree in STEM or equivalent work experience. You have more than 10+ years of engineering experience, 5+ years of data engineering experience, 5+ years as data architect.
- You have technically led the definition and evolution of numerous OLTP and data platform architectures.
- You have already worked on data mining/analytics/machine learning projects. You understand the language of both the data scientists, data engineers and developers.
- You have an excellent understanding of data modeling techniques (including relational, star, snowflake and NoSQL) including API payload design (XML/JSON) and events / messaging.
- You have designed end-to-end, near real-time ETL/ELT pipelines based on Spark.
- You feel comfortable in an agile environment, where features are delivered following the CI/CD best practices and you bring along your experience from past projects, where you were using both SQL and NoSQL technologies.
- You have already planned data governance and data security practices.
- You have a good overview of classical BI and novel analytics technologies and toolsets.
- Confidence with Microsoft Azure (or AWS, GCP) platform.
- You have prior engineering experience using modern programming languages (Python, Scala, Java, etc.).
- Prior experience with designing on-demand analytics systems and ad-hoc reporting is a plus.
- Prior exposure to MongoDB, Azure SQL and Databricks is a nice to have.

What We Value
- You have proven ability to create data architecture designs.
- You are happy to mentor data engineering teams, developers and data architects.
- You have excellent verbal and written communication skills.
- You have a passion for technology and for learning / teaching.
- You possess analytical skills and have a problem-solving attitude.

**What We Offer**
- The opportunity to work with a purpose — simplifying global expansion while supporting sustainable communities around the world
- A diverse and inclusive environment, with over 40 nationalities represented, 90+ languages spoken,