Data Architect

VBeyond Corporation; Dallas (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

VBeyond Corporation in the United States is seeking a Data Architect to own the design and delivery of modern data platforms built on AWS and Databricks. You will architect end-to-end data pipelines, spanning ingestion, transformation, and warehousing, across structured and unstructured sources.

You will lead a small team of data engineers, define standards for data quality and governance, and collaborate with stakeholders to translate requirements into scalable, production-ready solutions.

Qualifications

• Experience designing end-to-end data ingestion, transformation, and warehousing pipelines across structured and unstructured data.
• Ability to design scalable data pipelines with reliability, performance, and cost considerations.
• Leadership experience in mentoring data engineers and delivering technical outcomes.

Responsibilities

• Architect and deliver end-to-end data engineering solutions on AWS and Databricks.
• Design scalable pipelines for structured and unstructured data.
• Lead and mentor a team of data engineers, overseeing delivery timelines and quality.
• Partner with architects and stakeholders to translate requirements into production-ready designs.
• Establish and maintain standards for data quality, governance, and scalability.

Skills

AWS

Databricks

Data engineering lifecycle

Team leadership

Tools

Delta Lake

Unity Catalog

Job description

Location : Seattle, WA / Dallas, TX / Phoenix, AZ / Charleston, SC (Hybrid . 2 days/ week Onsite )

Mode : Full Time

ROLE OVERVIEW

We are looking for a Data Architect to own the design and delivery of modern data platforms built on AWS and Databricks. This role combines deep hands-on engineering with team leadership, covering data ingestion, transformation, and warehousing across structured and unstructured sources.

KEY RESPONSIBILITIES

• Architect and deliver end-to-end data engineering solutions on AWS and Databricks, spanning ingestion, transformation, and warehousing layers.
• Design scalable pipelines for structured and unstructured data, balancing reliability, performance, and cost efficiency.
• Lead and mentor a team of data engineers, overseeing sprint planning, code quality, and technical delivery.
• Partner with architects and business stakeholders to translate requirements into robust, production-ready designs.
• Establish and maintain standards for data quality, governance, and platform scalability.

WHAT WE'RE LOOKING FOR

MUST-HAVE SKILLS

• AWS Services — Hands-on expertise across core AWS services spanning compute, storage, orchestration, and security in production environments.
• Databricks Platform — Deep proficiency in Databricks, including Delta Lake, Unity Catalog, cluster management, and job orchestration at scale.
• Data Engineering Lifecycle — Proven ability to design and operate ingestion, transformation, and warehousing pipelines across structured and unstructured data.
• Team Leadership — Experience leading and mentoring data engineering teams, managing delivery timelines, and driving technical quality.