Lead Data Engineer with GEN AI

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 16,850 , and has 60 offices in 20 countries within key global markets.

Our challenge

We are seeking an experienced Lead Data Engineer with expertise in Generative AI to design and build scalable data and AI solutions. The ideal candidate will lead data engineering initiatives while integrating advanced Gen AI capabilities into enterprise systems. The role requires strong experience in data pipelines, big data technologies, and AI-driven architectures.

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 $105k - $115k/year & benefits (see below).

The Role

Responsibilities:

• Lead the design and development of scalable data pipelines for AI and analytics use cases.
• Build and maintain robust ETL/ELT processes for structured and unstructured data.
• Design and implement Generative AI solutions using LLMs such as OpenAI, Azure OpenAI, or similar platforms.
• Develop and optimize Retrieval-Augmented Generation (RAG) architectures.
• Collaborate with AI/ML teams to integrate models into production systems.
• Work with stakeholders to translate business requirements into data and AI solutions.
• Ensure high performance, scalability, and reliability of data platforms.
• Implement data governance, security, and compliance best practices.
• Mentor and guide data engineers and junior team members.
• Collaborate with DevOps teams for CI/CD and MLOps implementation.

Requirements:

• Strong experience in Data Engineering and Big Data technologies.
• Hands-on experience with Generative AI and LLM frameworks.
• Proficiency in Python and SQL.
• Experience with big data tools such as Spark, Hadoop, and Kafka.
• Strong understanding of data modeling, data warehousing, and ETL/ELT frameworks.
• Experience with vector databases such as Pinecone, FAISS, or Weaviate.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Experience in API development and microservices architecture.
• Strong knowledge of MLOps and data pipeline orchestration tools.

Preferred, but not required:

• Experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI.
• Knowledge of LangChain, LlamaIndex, or similar frameworks.
• Experience with real-time data streaming and processing.
• Hands-on experience with Docker, Kubernetes, and Terraform.
• Familiarity with data governance and data quality tools.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 60 offices in 20 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.