Lead Data Engineer/Architect
Listed on 2026-04-28
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IT/Tech
Data Engineer, Data Analyst, Big Data, Data Scientist
Overview
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 & Dev Ops, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our Fin Labs 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.
As a Lead Data Engineer/Architect
, you will be responsible for big data/analytics projects that gather and integrate large volumes of data. Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate insights and solutions for client services and product enhancement. Acquires data from multiple data sources to perform analysis. Implements and validates predictive models as well as create and maintain statistical models with a focus on big data.
Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action. Interprets data and analyzes results using various advanced statistical techniques and tools. Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions.
Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis. Measures and monitors results of applied recommendations and present adjustments. Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards.
Preferred Skills/Experience
- Strong experience in analytics, advanced analytics/statistics, predictive modeling, machine learning, data visualization
- Good experience and expertise in Synapse, Presto, Spark SQL, Druid, Super Set
- Strong experience and expertise in Java, SQL and Azure Cloud technologies
- Prior experience in Azure Synapse Analytics, Azure Data Factory, SSIS, Azure Spark pool and building /
managing large scale data warehouse is a plus - Very knowledgeable in Apache Airflow
- Previous experience in building data products
- Understanding of machine learning techniques and algorithms
- Experience in python/R/SAS/SQL for data extraction, data mining, and predictive analytic
- Proficient understanding of algorithms, data structures, architectural design patterns and best practices
- Effective communication, presentation, leadership, problem-solving and analytical skills
- Experience in BNPL (Buy Now Pay Later) and Point-of-Sale (POS) lending platforms
- Strong understanding of consumer lending, credit risk, and payment ecosystems
- Exposure to financial services / banking analytics environments
- Design and development of large-scale data platforms and analytics pipelines
- Hands-on experience with:
Apache Spark (Spark SQL, distributed processing)
Presto
Apache Druid
- Expertise in data ingestion, transformation, and integration from diverse data sources
- Strong experience working with structured & unstructured big data environments
Hands-on experience with
- Experience building and managing enterprise-scale data warehouses
- A highly competitive compensation and benefits package.
- A multinational organization with 58 offices in 21 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…
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