Data Architecture Leader
hace 2 semanas
We are a pioneering company shaping the future of global growth. Our mission is to empower businesses to thrive across borders and cultures.
As a leader in the Direct EOR space, we offer a unique solution that enables companies to employ talent from anywhere in the world. Our technology platform, built on local expertise, supports clients in achieving their international growth ambitions. With a presence in over 160 countries and a team that speaks 90+ languages, we foster a diverse and inclusive environment.
- Our Impact
- Through our impact program, we address our environmental footprint, promote social responsibility, and ensure ethical governance.
About the Role
**Lead Data Architect**
We're seeking an exceptional Lead Data Architect to join our team. As a key member of our Global Architecture department, you'll work closely with our Director of Global Architecture and collaborate with data scientists and product development teams to drive our data platform forward.
Key Responsibilities
- Design and implement scalable data processing and analytics solutions for OLTP and Big Data storage, processing, and consumption.
- Clearly communicate the pros and cons of various technologies and platforms, and propose solutions.
- Develop architecture blueprints, patterns, accelerators, and interoperability standards.
- Define data security and data privacy standards for solutions, with a working knowledge of GDPR and the HR domain.
- Evolve data architecture and own product data models.
- Lead architectural discussions and design workshops with internal stakeholders.
- Create technical documentation, data models, and diagrams.
- Act as a Data Ambassador / Data Evangelist.
Requirements
- 10+ years of engineering experience, 5+ years of data engineering experience, and 5+ years as a data architect.
- Experience in leading the definition and evolution of numerous OLTP and data platform architectures.
- Background in data mining, analytics, and machine learning, with a strong understanding of data modeling techniques.
- Experience designing end-to-end, near real-time ETL/ELT pipelines based on Spark.
- Comfortable in an agile environment, with experience in CI/CD best practices.
- Good overview of classical BI and novel analytics technologies and toolsets.
- Experience with Microsoft Azure (or AWS, GCP) platform.
- Prior experience with designing on-demand analytics systems and ad-hoc reporting.
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