The Role
Leads the full data solution lifecycle, including requirements, architecture, implementation, release, and data pipeline management. Oversees data collection, transformation, enrichment, integration, quality, security, and availability. Collaborates with analytics, QA, and cross-functional teams to develop the data engineering roadmap. Manages team resources, schedules, budgets, delivery quality, and ad hoc analytics requests.
Summary Generated by Built In
- Lead the entire data solution lifecycle including requirement gathering, solution design, implementation, and releasing
- Oversee the end-to-end data flow, including data collection, transformation, enrichment and integration, to make sure they are usable, accurate, consistent across the reports and downstream applications
- Collaborate with cross-functional teams on the data needs, and conduct the roadmap to build the data engineering capabilities to proactively meet the business needs
- Work closely with the Data Analytics and QA teams, to data quality to provide high availability
- Manage the team resources and schedule to ensure the data platform is delivered with effectiveness, high quality, accurate, secure, on time, budget and cost control, as well as efficiently handle ad hoc analytics queries
Requirements
- Bachelor Degree holder, preferably from statistics, computer science or related disciplines
- 5-8 years related experience in data engineering and data platform
- Proficiency with SQL, and at least one object-oriented language (Python, Java, etc.)
- Track record of delivering large-scale, secure, and highly available data pipelines in a cloud environment, preferably AWS or GCP.
- Expert in data architecture, data models and ETL pipeline, with modern data technology, such as Snowflake, Databricks, dbt, and Kafka
- Domain experience in the digital marketing, e-commerce, CRM, MarTech or AdTech fields is highly desired
- Flexible and able to work in a dynamic environment and manage your own time and in a high-paced work environment and tight timeline
- Good command of both written and spoken English and Chinese
Skills Required
- Bachelor’s degree, preferably in statistics, computer science, or a related discipline
- 5–8 years of related experience in data engineering and data platforms
- Proficiency with SQL
- Proficiency in at least one object-oriented language, such as Python or Java
- Experience delivering large-scale, secure, highly available data pipelines in a cloud environment
- Experience with AWS or GCP
- Expertise in data architecture, data modeling, and ETL pipelines
- Experience with modern data technologies such as Snowflake, Databricks, dbt, and Kafka
- Domain experience in digital marketing, e-commerce, CRM, MarTech, or AdTech
- Ability to work flexibly in a dynamic, high-paced environment with tight timelines
- Good written and spoken English and Chinese
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The Company
What We Do
Teki'Spire Limited is an executive search and recruitment firm specializing in Technology, Data & Digital roles, covering functions such as Digital, Big Data, Business Intelligence, Application Development, and Project Management.
