Data Warehouse Engineer, AI Data Services
BinancePosted 5/18/2025
Data Warehouse Engineer, AI Data Services
Binance
Job Location
Brunei DarussalamCambodiaGeorgiaJapanArmeniaAzerbaijanBahrainBangladeshBhutanCyprusJordanKorea (South)KuwaitMalaysiaMaldivesNepalPakistanTaiwan, Republic of ChinaTajikistanLao PDRLebanonPhilippinesQatarSri LankaThailandTimor-LesteOmanMongoliaSyrian Arab Republic (Syria)TurkeyUnited Arab EmiratesViet NamAfghanistanChinaAustraliaKyrgyzstanMyanmarSingaporeTurkmenistanYemenKazakhstanPalestinian TerritoryRussian FederationUzbekistanSaudi ArabiaIndiaIndonesiaIran, Islamic Republic ofIraqIsrael
Job Summary
We are seeking a Senior Data Warehouse Engineer at Binance to design and maintain a flexible, enterprise-scale data warehouse. The ideal candidate will have 5+ years of experience in designing and developing data lakes and data warehouses, with expertise in data modeling, governance, and Big Data technologies such as Hadoop, Spark, Hive, etc. They will collaborate closely across business and technical teams to accelerate insights and minimize redundant work. With a strong analytical mindset and ability to abstract and architect solutions, the candidate will lead data governance initiatives and foster technical team growth through mentorship and knowledge sharing. Binance offers a competitive salary, company benefits, and a user-centric global organization with a flat structure.
Job Description
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 250 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
About the Role
As a Senior Data Warehouse Engineer, where you’ll architect and maintain a highly flexible, enterprise-scale data warehouse that accelerates insights and minimizes redundant work. Leveraging deep expertise in data modeling, governance and Big Data technologies (Hadoop, Spark, Hive, etc.), you’ll design end-to-end ETL pipelines, optimize performance, and build metadata and quality monitoring frameworks. You’ll collaborate closely across business and technical teams, mentor peers, and continuously evolve our data platform to meet the demands of petabyte-scale environments.
Responsibilities
- Architect and implement a flexible, scalable data warehouse aligned with company specifications and business requirements, accelerating delivery and reducing redundant development.
- Design, develop, test, deploy and monitor data models and ETL jobs; rapidly troubleshoot complex issues and optimize calculation logic and pipeline performance.
- Lead data governance initiatives by building and maintaining metadata management and data quality monitoring systems.
- Foster technical team growth through mentorship, knowledge sharing and continuous improvement of collective skills.
Requirements
- 5+ years of hands-on experience designing and developing data lakes and data warehouse solutions.
- Deep expertise in data warehouse modeling and governance, including dimensional modeling, information factory (data vault) methodologies and “one data” principles.
- Proficiency in at least one of Java, Scala or Python, plus strong Hive & Spark SQL programming skills.
- Practical experience with OLAP engines (e.g., Apache Kylin, Impala, Presto, Druid).
- Proven track record in building high-throughput batch pipelines on Big Data platforms.
- Familiarity with core Big Data technologies (Hadoop, Hive, Spark, Delta Lake, Hudi, Presto, HBase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis).
- AWS Big Data service experience is a plus.
- Strong analytical and system-design capabilities, with a clear understanding of business requirements and ability to abstract and architect solutions.
- Collaborative mindset, skilled at building partnerships across teams and stakeholders.
- Preferred: Experience managing petabyte-scale data in Internet-scale environments and resolving critical production incidents.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
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