Lead Data Engineer with Banking (New York)

We are

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. Synechrons 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 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking an experienced Lead Data Engineer to spearhead our data infrastructure initiatives. The ideal candidate will have a strong background in building scalable data pipelines, with hands-on expertise in Kafka, Snowflake, and Python. As a key technical leader, you will design and maintain robust streaming and batch data architectures, optimize data loads in Snowflake, and drive automation and best practices across our data platform.

Additional Information

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $135k - $140k / year & benefits (see below).

The Role

Responsibilities :

• Design, develop, and maintain reliable, scalable data pipelines leveraging Kafka, Snowflake, and Python.
• Lead the implementation of distributed data processing and real-time streaming solutions.
• Manage Snowflake data warehouse environments, including data loading, tuning, and optimization for performance and cost-efficiency.
• Develop and automate data workflows and transformations using Python scripting.
• Collaborate with data scientists, analysts, and stakeholders to translate business requirements into technical solutions.
• Monitor, troubleshoot, and optimize data pipelines and platform performance.
• Ensure data quality, governance, and security standards are upheld.
• Guide and mentor junior team members and foster best practices in data engineering.

Requirements :

Preferred, but not required :

We offer :

SYNECHRONS 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 applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.