Lead Data Engineer

Job Summary:

Data Lead

Data Warehousing, Snowflake, AWS

Key Responsibilities:

• Lead end-to-end

  data platform and data warehousing initiatives

  , ensuring scalability, performance, and reliability
• Act as a

  hands-on technical lead

  , actively contributing to design, development, and optimization of data solutions
• Design and implement

  data models

  (including

  Data Vault

  ) aligned with business requirements
• Build and maintain cloud-based data solutions using

  AWS and Snowflake

• Develop and optimize

  SQL and Python

  pipelines for data ingestion, transformation, and analytics
• Collaborate closely with

  business teams and IT

  to translate business needs into technical solutions
• Guide and mentor data engineers, ensuring best practices and high-quality deliverables
• Ensure data quality, governance, security, and performance standards are met
• Proactively identify opportunities for process improvements and architectural enhancements
• Participate in architecture discussions and contribute to data strategy and roadmap

Required Skills & Qualifications:

• 8+ years

  of experience in

  Data Engineering / Data Warehousing

• Strong

  Data & Cloud background

  , with hands-on experience in

  AWS

• Extensive experience with

  Snowflake

  (architecture, performance tuning, cost optimization)
• Strong expertise in

  SQL

  and

  Python

• Solid experience in

  Data Modelling

  , including

  Data Vault

• Proven experience leading or acting as a

  technical lead

  on data projects
• Strong understanding of modern data warehousing concepts and best practices
• Excellent

  communication and stakeholder management skills

• Ability to work in a

  collaborative role between IT and business teams

• Proactive, self-driven, and a

  quick learner

Preferred Qualifications:

• Experience with CI/CD pipelines for data workflows.
• Familiarity with data governance, metadata management, and security best practices.
• Exposure to big data technologies (Spark, Kafka) is a plus.
• Experience in Agile/Scrum environments.