Technical Lead

2 weeks ago

Singapore INFOCEPTS PTE. LTD. Full time
Roles & Responsibilities

Key Responsibilities
Cloud Solutions & Architecture
  • Lead the design and implementation of secure, scalable, and cost-optimized cloud architectures (AWS, Azure, GCP).
  • Drive cloud migration strategies, hybrid/multi-cloud adoption, and platform modernization initiatives.
  • Ensure compliance with governance, security, and operational best practices.
Data Engineering & Analytics
  • Oversee data ingestion, transformation, and storage pipelines (e.g., Databricks, Spark, SQL, ETL).
  • Architect and optimize data lakehouses, warehouses, and data marts to support analytics and reporting.
  • Implement best practices for data quality, data lineage, and data governance.
  • Partner with data scientists and analysts to operationalize advanced analytics and AI/ML use cases.
Team Leadership & Collaboration
  • Lead and mentor engineers, providing technical guidance and career development support.
  • Act as a bridge between business stakeholders, solution architects, and engineering teams.
  • Enforce engineering standards (CI/CD, DevOps, Infrastructure as Code).
  • Review technical designs, code quality, and ensure adherence to InfoCepts' best practices.
Delivery & Execution
  • Translate business requirements into technical solutions and roadmaps.
  • Oversee end-to-end project delivery, ensuring timelines, quality, and cost objectives are met.
  • Identify risks, performance bottlenecks, and propose mitigation strategies.
  • Support pre-sales and client engagements with solution demonstrations and technical proposals.
Qualifications & Skills
  • Bachelor's or Master's in Computer Science, Information Systems, or related field.
  • Proven experience in cloud architecture, data engineering, and leading technical teams.
  • Strong expertise in:

    Cloud Platforms: AWS, Azure, or GCP

    Data Engineering: Databricks, Spark, SQL, ETL tools

    Infrastructure as Code: Terraform, Ansible, CloudFormation

    DevOps: CI/CD pipelines, containerization (Docker, Kubernetes)
  • Excellent leadership, communication, and stakeholder management skills.
  • Ability to balance hands-on engineering with strategic oversight.
Tell employers what skills you have

Management Skills
Kubernetes
Azure
Pipelines
Architects
ETL
Data Quality
Data Governance
Data Engineering
Team Leadership
Containerization
Docker
GCP
Ansible
Bridge
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