Senior/Lead Data Engineer (AWS/Databricks)

Top 3 reasons to join us

• Full probation pay + up to 2-mo bonus
• Premium healthcare for your whole family
• Flexible Hybrid work & 20 days off

Job description

Role Summary

Itviec’s client is seeking a Lead Platform Engineer who will take ownership of the design, implementation, and operation of our core data, analytics, and ML infrastructure. This role spans across platform architecture, DevSecOps, DataOps, and ML infrastructure, and requires a combination of strategic thought leadership and hands-on execution. You will build, integrate, and operate platforms on AWS and Databricks, enabling scalable, secure, production-grade ML/AI solutions.

Key Responsibilities 

• Architect and implement end-to-end data and ML platforms: data lakes, warehouses, streaming and batch pipelines, model training/deployment infrastructure, on AWS + Databricks. 
• Lead DevSecOps and DataOps practices: infrastructure as code (IaC), CI/CD pipelines for data & ML workflows, secure multi-account/multi-region cloud operations. 
• Integrate AWS services (e.g., S3, Redshift, Kinesis, Lambda, EKS/ECS) with Databricks runtime, Delta Lake, Unity Catalog etc to build scalable, performant pipelines. 
• Build and operate ML infrastructure: training clusters, model versioning, MLOps toolchain (e.g., MLflow), model monitoring and observability, automatic retraining workflows. 
• Establish data governance, lineage, quality, observability standards across data pipelines and ML workflows. 
• Mentor engineering teams, define architectural best practices and guide implementation of high-scale data/ML systems. 
• Optimize system performance, cost and scalability; diagnose and resolve large-scale production issues. 
• Continuously evaluate new tools and technologies in the areas of cloud, data platform, DevSecOps, ML infrastructure and apply them to drive innovation. 

Your skills and experience

• 7+ years of experience in data platform architecture, cloud/ML infrastructure engineering or related roles. 
• Deep technical expertise in Databricks and AWS: demonstrated ability to design, integrate and operate solutions spanning both platforms. 
• Strong hands-on implementation skills: you will not just design but build, deploy and operate the platform. 
• Proven track record of building and operating scalable ML/AI platforms in production (model training & deployment). 
• Expertise in Apache Spark, Delta Lake, modern data pipeline frameworks (batch + streaming). 
• Strong background in infrastructure as code (Terraform, CloudFormation), CI/CD for data/ML, and DevSecOps practices. 
• Proficiency in Python and SQL; familiarity with Scala or equivalent is a plus. 
• Experience with data governance, data lineage, observability and MLOps frameworks (e.g., MLflow, Airflow, dbt). 
• Bonus: Experience in fintech, regulated industries or high-security environments.

Why you'll love working here

About our client

Our client is a fast-scaling Fintech platform enabling seamless banking solutions across emerging markets. They blend innovation with scalable tech infrastructure to help millions access secure, intuitive financial services. Operating in a highly dynamic international environment, the company offers a sustainable professional space with a clear focus on technological excellence, agile culture, and continuous human development.

Why You’ll Love Working Here

• Financial Package: 13th-month salary pro-rata, attractive performance bonuses of up to 2 months, 100% salary during probation, and fully covered meal and parking allowances.
• Work-Life Balance: Strictly 40-hour workweek (Monday to Friday) in a Hybrid setup, plus a generous leave package of 20 days 
• Health Care: Premium health care package provided for both you and your family right from the start (no seniority required)
• Career Growth: Clear career acceleration through SMART goals, supported by technical seminars, conferences, career talks, and exclusive overseas travel opportunities for training and work.
• Engagement: A vibrant, values-driven international culture featuring internal Hackathons, dynamic company events (team building, coffee runs, blue card), and a highly agile working environment.