Data Platform Architect
Who we are in a nutshell:
👋🏻 Hi, we are FintechOS! We are the global leader in fintech enablement, with a mission to make fintech innovation available to every company. The FintechOS platform simplifies and accelerates the launching, servicing, and expansion of financial products and services, helping businesses recognize value up to ten times sooner than with other approaches: with FintechOS, banks, insurance providers, and companies can get up and running with new financial solutions in as little as 12 weeks.
Unlike other financial technologies, FintechOS breaks data free from the core, enabling the creation of personalized and differentiated products and customer journeys at scale. FintechOS is a cloud-native platform that connects with any ecosystem tech or service – financial and non-financial – and can plug anywhere in the tech stack, working with existing and legacy tech that companies want to keep. We have invested deeply in our technology IP and are proud to have built not only an exceptional platform but also a diverse and experienced tech team.
About the role
As a Data Platform Architect, you will be responsible for designing and implementing a robust and scalable data platform that supports the organization's data-driven initiatives.
You will work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand their requirements and translate them into efficient and effective data platform designs.
Your primary focus will be on architecting a modern data ecosystem that enables data ingestion, storage, processing, and analytics at scale.
What you’ll be doing
- Data Platform Architecture: Develop and maintain the overall data platform architecture strategy, including data ingestion, storage, processing, and analytics. Design scalable and high-performance data platforms that meet business objectives and align with industry best practices.
- Data Ingestion and Integration: Design and implement efficient data ingestion pipelines, ensuring the smooth and reliable collection of data from various sources. Integrate with external systems, databases, and APIs to capture and consolidate data into the data platform.
- Data Storage and Management: Architect the storage layer of the data platform, including data warehousing, data lakes, and data marts. Define data storage schemas, partitioning strategies, and data organization principles to enable efficient data retrieval and analysis.
- Data Processing and Transformation: Design and implement data processing and transformation pipelines, utilizing technologies like Apache Spark, Hadoop, or cloud-based data processing services. Ensure the data pipelines are scalable, fault-tolerant, and optimized for performance.
- Data Governance and Security: Establish and enforce data governance policies and best practices, ensuring data quality, data lineage, and data privacy. Implement appropriate security controls, access management, and encryption mechanisms to protect sensitive data.
- Data Analytics and Reporting: Collaborate with data scientists and analysts to design and implement analytics and reporting capabilities on the data platform. Enable self-service analytics, data visualization, and ad-hoc querying for business users.
- Cloud and Big Data Technologies: Leverage cloud and big data technologies, such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Apache Hadoop, or Apache Spark, Apache Kafka to build scalable and cost-effective data platforms.
- Performance Optimization: Identify opportunities for performance optimization and data platform tuning. Conduct performance monitoring, capacity planning, and optimization efforts to ensure optimal system performance and resource utilization.
- Collaboration and Leadership: Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand their requirements and provide guidance on data platform-related matters. Lead and mentor junior data platform architects, providing technical guidance and support.
- Research and Innovation: Stay up-to-date with the latest advancements and trends in data management, big data technologies, and analytics. Evaluate new tools and technologies and provide recommendations for their adoption to enhance the organization's data platform capabilities.
What you’ll need
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Extensive experience as a data platform architect, designing and implementing scalable and performant data platforms.
- Strong expertise in big data technologies, cloud platforms, and data processing frameworks (e.g., AWS, Azure, GCP, Hadoop, Spark).
- In-depth knowledge of data architecture patterns, data modeling, data integration, and data governance principles.
- Experience with data storage technologies like data lakes, data warehouses, and NoSQL databases.
- Proficiency in data processing and transformation using technologies like Apache Spark, Hadoop, or cloud-based data processing services.
- Solid understanding of data security, data privacy, and compliance requirements.
- Strong leadership and communication skills to collaborate effectively with cross-functional teams and stakeholders.
- Excellent problem-solving skills and the ability to analyze complex data requirements and design scalable solutions.
- Experience with data analytics and visualization
- We are a highly motivated bunch of people, taking on a huge technical challenge in one of the biggest industries in the world. We're fully aware that the impact of our work can be felt by hundreds of millions of people around the world.
- At FintechOS, we strive to be the place where a diverse mix of talented people want to come, stay, and do their best work. Our commitment to diversity and inclusion is reflected in our people, our partners, and our customers.
- We are fully focused on equality and believe deeply in diversity of race, gender, sexual orientation, religion, ethnicity, national origin, and all the other wonderful characteristics that make us different.
- We are a venture-backed business started in 2017 with a big list of international clients already under our belt, serving customers in Europe, the UK, and North America
- Scaling globally at a high speed: 400+people, 3 countries, with 100% YOY growth rate over the last years
- More than 40+ institutions run on FintechOS technology including Erste Bank, Société Générale, Scotiabank, Nationale-Nederlanden, Hyperion Insurance Group, Vienna Insurance Group and many more. We operate in 20 markets, across four continents with a total of $85bn in assets under management and we have offices in London, Amsterdam, and Bucharest (soon opening in Dubai, Singapore, and New York)
- FintechOS is 2020’s hottest FinTech Startup, according to the Europas Awards, an event launched in 2009 by TechCrunch’s editor-at-large, Mike Butcher, to recognize and celebrate the innovation emerging from Europe’s burgeoning tech startup scene