Job scopes
- Play the role of a data technology leader as it builds out BaaS platform and data products.
- Lead the data architecture and implementation of Data Lake, Engineering, Reporting and Tooling.
- Industrialize the rollout and deployment of data lake into multiple partner locations and cloud regions.
- Apply product thinking when building out data capabilities to help with scaling in many countries and companies.
- Own vision and road map for data engineering and data culture.
- Collaborate with security, risk and functional delivery teams to understand the platform evolves to support the business and technology needs
- Contribute to securing of the data lake offering using DevSecOps best practices, Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) tools
- Lead automation efforts for data jobs and pipelines
- Hire, mentor and guide team members and perform code and architecture review for data pipelines.
- Help make the data engineering solution scalable and highly available
- Collaborate with Developer Productivity Engineering Lead to provide a world class experience for all our developers
- Collaborate with Cloud Platform Lead to provide one click setup/deployment
- Collaborate with Data Platform Lead to enhance data solutions
- Collaborate with Domain Leads and promote federated data governance culture.
- Extend the data lake solution to add Machine Learning Ops capability
- Add tooling to enhance self-service capability for both data pipelines, experimentation and access.
Job requirements
- Bachelor's Degree in Computer Science, or any equivalent
- Around 3-5 years of experience working in a Data Warehouse/Engineering or Data Platform team.
- Previous team lead experience in Data or Software Engineering.
- At least two years of coding experience with Scala.
- Experience prioritising tasks with technology teams.
- Excellent background in agile delivery methodology with experience working with multiple teams and stakeholders.
- Good understanding of AWS, GCP or Azure Cloud
- Experience working with Presto, Trino, Hive, Parquet files and partitioning.
- Experience with one of Apache Spark, Beam, Flink
- Experience with one of Apache Airflow, Prefect, Dagster
- Experience with at least one NoSQL Database
- Relevant certifications in Data Technologies.
- An innovator who thinks out of the box to craft creative data engineering solutions.
- A storyteller with excellent presentation and communication skills.
- A people leader with experience in team management and a passion in people development.
Nice to have(s):
- Experience with NoSQL Databases, Elasticsearch and Kafka.
- Experience with Kubernetes or Containers
- Experience with Domain Specific skills
- Prior experience working with Apache Cassandra or MongoDB.
- Prior experience with Apache Hadoop or Data warehousing.
Cristina Malabuyoc Malijan EA License No. 02C3423 Personnel Registration No. R1111547
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