Data Architect

Overview

On Site
Up to $120,000
Full Time

Skills

Data Architect
ETL
SQL
DATA Governance

Job Details

Job Title: Data Architect

Location: Berkeley Heights, NJ

Position Summary:

We are seeking an experienced and hands-on Data Architect to lead the design, implementation, and optimization of modern, scalable data architecture solutions. The ideal candidate will have a strong foundation in distributed databases, data integration, cloud-based platforms, and modern data tools. This role will collaborate closely with engineering, DevOps, and analytics teams to support enterprise-wide data initiatives.

Required Qualifications:

  • Bachelor s or Master s degree in Computer Science, Engineering, or related discipline.
  • 7+ years of experience in data architecture, engineering, or related technical roles.
  • Proven hands-on experience with Snowflakeand modern data warehouses.
  • Strong knowledge and experience with distributed SQL databasessuch as YugabyteDB.
  • Proficiency in ETL development, especially using Qlik Replicateor similar tools.
  • Solid experience in relational data modelingand data normalization techniques.
  • Strong understanding of data governance, security, and compliance practices.
  • Experience working with cloud platforms(e.g., AWS, Azure, or Google Cloud Platform) for data solutions.
  • Strong programming skills in Pythonand Java.
  • Experience with API integrationsfor data ingestion and exposure.
  • Familiarity with CI/CDpractices and collaboration with DevOps teams.
  • Experience using Sigmaor similar reporting and analytics tools.

Preferred / Nice-to-Have Skills:

  • Experience with Rocket ETLor similar ETL tools.
  • Hands-on experience with PySparkor distributed data processing frameworks.
  • Exposure to AI/ML workflowsand tools such as Snowflake ML.
  • Knowledge of Infrastructure as Code (IaC)tools like Terraform.
  • Experience with version control systems and agile methodologies.

Key Responsibilities:

  • Architect and implement scalable, secure, and high-performance data platforms using modern technologies.
  • Design end-to-end data architecture solutions to support real-time, near-real-time, and batch data processing needs.
  • Lead data modeling efforts including normalization, relational design, and support for distributed SQL databases.
  • Integrate diverse data sources including internal systems, external APIs, and third-party feeds.
  • Develop and manage ETL/ELT pipelines, including near real-time replication solutions using tools like Qlik Replicate.
  • Apply best practices in data governance, metadata management, and data quality frameworks.
  • Collaborate with DevOps teams to build and maintain automated CI/CD pipelines for data workloads.
  • Optimize cloud-based data solutions leveraging platforms such as Snowflake and YugabyteDB.
  • Work with API-based data ingestion and delivery for both internal and external applications.
  • Support reporting and dashboarding using tools like Sigma.
  • Contribute to the development of data-intensive applications using Python and Java.
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