We are seeking a highly skilled and experienced Cloud Data Engineering Lead to spearhead our cloud-based data initiatives.
You will be responsible for architecting, building, and maintaining scalable data pipelines and platforms in the cloud, enabling advanced analytics and data-driven decision-making across the organization.
Key Responsibilities:
· Leadership & Strategy
· Lead a team of data engineers in designing and implementing cloud-native data solutions.
· Define and drive the data engineering roadmap aligned with business goals.
· Collaborate with cross-functional teams including Data Science, Analytics, DevOps, and Product.
· Architecture & Development
· Architect and implement scalable, secure, and cost-effective data pipelines and platforms.
· Design and optimize data lake, data warehouse, and real-time streaming architectures.
· Ensure high availability, performance, and reliability of data systems.
· Cloud & Tools
· Leverage cloud platforms (AWS, Azure).
for data storage, processing, and orchestration.
Utilize tools such as Snowflake, Data Bricks, AWS Glue, Iceberg, Apache Spark, Airflow, Kafka, dbt, and Terraform.
· Implement CI/CD pipelines and infrastructure-as-code for data workflows.
· Governance & Quality
· Establish data governance, security, and compliance standards.
· Monitor data quality and implement automated validation and alerting mechanisms.
· Mentorship & Growth
· Mentor junior engineers and foster a culture of continuous learning and innovation.
· Conduct code reviews, technical workshops, and performance evaluations.
Qualifications:
· Bachelor's or Master's degree in Computer Science, Engineering, or related field.
· years of experience in data engineering, with 2+ years in a leadership role.
· Proven expertise in cloud platforms (AWS, Azure).
· Strong programming skills in Python, Scala, or Java.
· Experience with big data technologies (Spark, Hadoop), ETL tools, and SQL.
· Familiarity with data modeling, warehousing, and real-time data processing.
· Excellent communication, leadership, and project management skills.
Maestro HR
damien lee tian hong
R
16C8462