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BigData Cloud Architect

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Synechron
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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Associate Specialist
- Recruitment at Synechron


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 & 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 Data Engineer/ Architect, the candidate will be responsible for leading data engineering efforts to deliver enterprise-wide capabilities and complex data solutions.

The Role

Responsibilities:

  • Directing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems and working with the Project Management team to define outcomes and inform work structures.
  • Job expectations may include managing teammates and providing technical thought leadership by implementing complex data solutions and interactions across multiple systems and domains.
  • Assemble large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems.
  • Maintain, improve, clean, and manipulate large data for operational and analytics data systems, build complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicate required information for deployment, maintenance and support of business functionality.
  • Utilize multiple architectural components in the design and development of client requirements and collaborate with development teams to understand data requirements and ensure the data architecture is feasible to implement.
  • Define and build data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines.
  • Contribute to existing test suites including integration, regression, and performance, analyze test reports, identify any test issues and errors and lead triage of underlying causes.
  • Lead the identification of gaps in data management standards adherence and work with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes.
  • Mentor Data Engineers in the delivery and release of continuous integration and continuous delivery events.
Requirements:

You are:

  • Proven experience as a Big Data Architect or similar role, with a strong understanding of data architecture and cloud computing.
  • Proven expertise in designing the Data warehouse using ETL Informatica Powercenter.
  • A deep understanding of relational databases (e.g., MySQL, PostgreSQL) and No

    SQL databases (e.g., MongoDB, Cassandra) is crucial. Data engineers must choose the right database systems for specific use cases and design efficient data schemas.
  • Knowledge to build complex business database systems. Their knowledge is associated with operations that tackle data in motion, data at rest, datasets, and the relationship between data-dependent processes and applications.
We can offer you:
  • A highly competitive compensation and benefits package.
  • A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
  • Laptop and a mobile phone.
  • 10 days of paid annual leave (plus sick leave and national holidays).
  • Maternity & Paternity leave plans.
  • A comprehensive insurance plan including: medical,…
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