Data Engineer Team Lead
atFireblocks
Dec 16
Fireblocks is a leading company in the digital asset space, providing a platform and network that enables secure and efficient transactions with digital currencies. The company is trusted by major financial institutions, banks, and renowned brands such as BNY Mellon, BNP Paribas, ANZ Bank, and Revolut, as well as a wide range of Web3 companies. Fireblocks is known for its commitment to offering secure, innovative solutions that bridge traditional financial systems and emerging blockchain technologies.
At the core of Fireblocks' technological advancements is the Embedded Wallets team, which focuses on developing and maintaining infrastructure for non-custodial wallets. This team ensures that the Fireblocks platform can handle high-volume transactions within the dynamic blockchain ecosystem by providing reliable blockchain information and orchestrating complex operations. Fireblocks prides itself on its ability to continuously adapt and introduce new product offerings that meet the evolving demands of retail customers, reflecting its dedication to diversity, inclusion, and enabling every business to access digital assets securely.
The world of digital assets is accelerating in speed, magnitude, and complexity, opening the door to new ways for leveraging the blockchain. Fireblocks’ platform and network provide the simplest and most secure way for companies to work with digital assets and it trusted by some of the largest financial institutions, banks, globally-recognized brands, and Web3 companies in the world, including BNY Mellon, BNP Paribas, ANZ Bank, Revolut, and thousands more.Â
About the teamThe Data team aims to empower Fireblocks with data through analysis, operational insights, strategic initiatives, and decision-making. In this role, you will be responsible for data modeling, writing, and implementing ELT data ingestion processes in our data warehouse. Your work will impact our business's success and growth.To do well in this role, you must be technical and up-to-date with modern technology to automate manual data collection processes. You should have strong analytical skills, strong modeling skills, and the ability to work well with other teams in the organization.
What you’ll do
- Lead the design, implementation, optimization, and monitoring of ELT processes, data pipelines, and data lake solutions.
- Lead and mentor a team of data engineers, providing guidance, feedback, and professional development opportunities.
- Continuously explore and implement methods to improve and ensure data quality, reliability, and availability across all data platforms.
- Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Optimize and troubleshoot existing data pipelines and systems to improve performance and efficiency.
- Implement and enforce best practices for data management, security, and governance.
- Stay current with emerging trends and technologies in data engineering and make recommendations for their adoption.
- Explore and implement AI-driven solutions to enhance data processing, analysis, and predictive modeling.
- Manage project timelines, resources, and deliverables to ensure successful project outcomes.
What you’ll bring
- 5+ years of experience in data engineering and ETL/ELT development within a DWH environment, with at least 2 years in a leadership or team lead role.
- 2+ years as Data Engineer Team Lead.
- Strong expertise in SQL and experience with relational databases such as PostgreSQL, MySQL, or similar.
- Proficiency with DBT, strong data modeling skills, and an excellent understanding of DWH architecture and methodology.
- Experience with cloud platforms such as AWS, GCP or Azure, and their data services.
- Experience with Airflow, Python, Docker, and Git.
- Deep understanding of MySQL/RDS replication and Change Data Capture (CDC) methods.
- Strong problem-solving and analytical abilities.
- Experience working in an agile development environment.
Bonus Skills:
- Experience with Kubernetes.
- Experience with Datadog or other enterprise monitoring systems.
- Proficiency with data visualization tools such as Tableau.
- Familiarity with AI and machine learning frameworks, and experience integrating AI solutions into data workflows.
Fireblocks' mission is to enable every business to easily and securely access digital assets and cryptocurrencies. In order to do that, we strongly believe our workforce should be as diverse as our clients, and this is why we embrace diversity and inclusion in all its forms.Â
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