Senior Data Engineer (Charlotte)

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. 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 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge

We are seeking an accomplished Senior Data Professional to lead our data initiatives. This multifaceted role combines expertise in data engineering, advanced data science, and data modeling to design scalable architectures, develop predictive models, and drive strategic insights. The ideal candidate will act as a technical leader, shaping our data strategy and mentoring junior team members.

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 Charlotte, NC is $96k - $98k/year & benefits (see below).

The Role

Responsibilities:

• Design, build, and harden production-grade data pipelines for ingest, curation, reconciliation, DQ monitoring, lineage, and notifications.
• Contribute to and extend the “generic pipeline” framework so federated teams can onboard data consistently and at speed.
• Engineer data transformations primarily using PySpark on GCP (Dataproc/Sparkflow) and BigQuery as the main query engine.
• Implement best practices for schema management, performance, reliability, and cost efficiency across large-scale datasets (Parquet, Iceberg).
• Integrate with centralized data cataloging and governance (e.g., Dataplex/Knowledge Catalog or equivalent), and support automated lineage harvesting.
• Collaborate with platform, security, and central cloud teams; support hybrid access patterns using Starburst where needed.
• Operate with an ownership mindset in an on-time, production SLAs environment, ensuring resilient, observable, and recoverable data flows.

Requirements:

• Hands-on data engineering in production environments.
• Strong SQL skills and proficiency building data transformations at scale.
• Practical experience with Spark (preferably PySpark) and big data file formats (Parquet; familiarity with Iceberg concepts).
• Experience delivering reliable, scheduled pipelines with monitoring, alerting, and incident response.
• Understanding of data cataloging, metadata, and lineage concepts, and why they matter for governance and reuse.
• Exposure to GCP data services (e.g., Dataproc/Spark, BigQuery). Deep infra setup knowledge is not required; collaboration with central cloud teams is expected.
• Solid software engineering practices: version control, CI/CD, testing, code reviews, and documentation.
• Experience building reusable pipeline frameworks or platform components adopted by multiple teams.
• Familiarity with Starburst/Trino for federated query across hybrid environments.
• Knowledge of data quality frameworks, reconciliation, and auditability in regulated or enterprise settings.
• Python proficiency; Java experience a plus (willingness to work primarily in Python).
• Background in operational data environments with time-bound SLAs and prod support rotations.
• Exposure to AI/ML model lifecycle platforms or MLOps concepts (platform enablement rather than model authoring).
• High ownership, proactive, clear & precise communication with technical and non-technical partners.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
• 10 days of paid annual leave (plus sick leave and national holidays).
• Maternity & paternity leave plans.
• A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
• Retirement savings plans.
• A higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
• On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms.
• A flat and approachable organization.
• A truly diverse, fun-loving, and global work culture.

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.