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.
- Snowflake
- DBT
- Apache Airflow
- AWS Cloud Services
- Python and SQL
- Data Warehousing and Data Modeling
- GitHub / Git
- 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
- 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.
- 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.
- 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.
SYNECHRON’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.
Candidate Application Notice
Skills Required
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
- 5+ years supporting enterprise big data or cloud data infrastructure
- 6+ years in an enterprise cloud data environment supporting automation and pipeline management
- Hands-on experience with AWS, Snowflake, Apache Airflow, and dbt
- Experience designing and operating scalable cloud data pipelines
- Experience supporting data migration, automation, and performance tuning in large systems
- Strong coding, troubleshooting, and optimization skills
- Excellent collaboration, communication, and stakeholder engagement skills
- Experience working within large-scale data ecosystems supporting business analytics
- AWS Data Analytics, AWS Solutions Architect, or equivalent certification
- Experience with Kubernetes, Terraform, DataOps tools, and monitoring or alerting platforms
- Experience with Java or Scala for big data processing
- Experience with Kafka for streaming
- Industry experience in finance, healthcare, retail, or enterprise analytics
Synechron Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Synechron and has not been reviewed or approved by Synechron.
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Fair & Transparent Compensation — Pay is frequently characterized as competitive, particularly relative to large service-consulting peers and in certain in-demand skill areas. Compensation sentiment appears strongest when staffing is stable on strong client engagements and for market-aligned roles in major hubs.
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Healthcare Strength — Healthcare coverage is often portrayed as a strong point in the U.S., with broad coverage and relatively favorable out-of-pocket experiences. Core medical, dental, and vision options are consistently described as meeting or exceeding a baseline expectation for consulting roles.
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Equity Value & Accessibility — Equity was made broadly accessible through a company-wide RSU grant tied to a major revenue milestone. This is positioned as a notable upside even if it is framed as a one-time recognition event rather than an ongoing program.
Synechron Insights
What We Do
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+, and has 48 offices in 19 countries within key global markets. For more information on the company, please visit our website: www.synechron.com.
