Cloud Data Engineer - Snowflake, DBT, Airflow and AWS.

Job Title: Senior Cloud Data Engineer / Cloud Data Platform Engineer

Experience: 8–10 Years

About the Role

We are seeking a highly skilled Senior Cloud Data Engineer with strong expertise in Snowflake, DBT, Airflow, and AWS to join our Data Engineering team. The ideal candidate will possess hands-on cloud data platform implementation experience, solutioning capabilities, infrastructure automation expertise, and the ability to engage effectively with stakeholders across business and technology teams.

This role requires a blend of technical excellence, architecture thinking, cloud platform delivery experience, and strong communication skills.

Key Responsibilities

• Design, develop, and support scalable cloud-based data platforms on AWS.
• Build and optimize ELT/ETL pipelines using Snowflake, DBT, and Airflow.
• Participate in solution design, architecture discussions, and technical decision-making.
• Implement and manage infrastructure as code using Terraform and/or CloudFormation.
• Develop and support CI/CD pipelines for data platform deployments.
• Collaborate with business stakeholders, architects, and engineering teams to deliver data solutions.
• Ensure platform reliability, performance, security, and operational excellence.
• Troubleshoot production issues and provide ongoing cloud platform support.
• Drive best practices around automation, data governance, monitoring, and cloud optimization.

Required Skills

Technical Skills

• Snowflake
• DBT
• Apache Airflow
• AWS Cloud Services
• Python and SQL
• Data Warehousing and Data Modeling
• GitHub / Git

Cloud & DevOps Skills

• Terraform and/or CloudFormation
• Infrastructure as Code (IaC)
• CI/CD Pipelines (Buildkite, Azure DevOps, Jenkins, GitHub Actions, etc.)
• Cloud platform deployment and operational support
• AWS IAM, Security, and Monitoring

Desired Experience

• Strong experience delivering enterprise-scale cloud data platforms.
• Experience in solutioning, architecture, and technical leadership.
• Exposure to modern data engineering practices and cloud-native architectures.
• Experience working in Agile environments.
• Financial Services, Banking, or Collections domain experience is desirable.

Soft Skills

• Excellent communication and presentation skills.
• Strong stakeholder management and client-facing experience.
• Ability to lead technical discussions and influence architectural decisions.
• Strong problem-solving and analytical skills.

Preferred Candidate Profile

• 8–10 years of overall IT experience.
• Minimum 4–6 years of hands-on experience with Snowflake and AWS.
• Proven experience delivering cloud data engineering solutions end-to-end.
• Ability to balance hands-on development with solution design and stakeholder engagement.

Keywords: Snowflake, DBT, Airflow, AWS, Terraform, CloudFormation, CI/CD, Data Engineering, Cloud Platform, Data Warehouse, Solution Architect, Infrastructure as Code, AWS IAM.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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