Data Architect

Ladders; United States; Teletrabalho; USD 120 000 - 145 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Open and communicative environment

Career advancement opportunities

Medical and dental programs, life保险

Generous paid time off

Resumo da oferta

Ladders seeks a Data Architect to shape the enterprise data foundation for analytics, integration, and operational decision‑making across a complex manufacturing environment.

You will design scalable architectures that connect on‑premise and cloud‑based systems while enabling reliable data movement across the organization. This is a hands‑on role partnering with data engineers and analysts to improve data quality, governance, and performance.

Qualificações

• Bachelor's degree in Computer Science, Information Systems, or related field.
• 7+ years of experience in data architecture or data engineering with hands-on approach.
• Expertise in Databricks, including building data pipelines and Spark-based transformations.
• Proficiency in relational database development across platforms like SQL Server or PostgreSQL.
• Strong experience with data integration from ERP and CRM systems such as SAP, Oracle, and Salesforce.
• Proficient in SQL and Python for data transformation and automation.
• Solid understanding of data governance principles and data security best practices.

Responsabilidades

• Design and implement scalable data architectures in hybrid cloud and on-premise environments.
• Lead data integration from multiple enterprise systems, including ERP and CRM.
• Develop and optimize robust ETL/ELT pipelines using distributed data processing frameworks.
• Oversee large-scale data migration projects ensuring data integrity and minimal disruption.
• Design and maintain logical and physical data models for various use cases.
• Collaborate with data engineers and analysts to enhance data solutions.
• Ensure performance and reliability of data workflows through best practices.

Conhecimentos

Databricks

Python

SQL/PostgreSQL

ERP/CRM data integration

Data governance

7+ years experience

Formação académica

Bachelor's degree in Computer Science/Info Systems

Master's degree preferred

Ferramentas

Databricks

SQL Server

PostgreSQL

SAP

Oracle

Salesforce

Descrição da oferta de emprego

For our client, we are seeking a Data Architect to join the team of a leader in the Manufacturing & Automotive space.

This role will shape the enterprise data foundation that supports analytics, integration, and operational decision-making across a complex manufacturing environment. You will design scalable architectures that connect on-premise and cloud-based systems while enabling reliable data movement across the organization. This is a hands-on position that partners closely with data engineers and analysts to improve data quality, governance, and performance.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $120,000 – $145,000 annually

Responsibilities

• Design and implement scalable data architectures in hybrid cloud and on-premise environments.
• Lead data integration from multiple enterprise systems, including ERP and CRM.
• Develop and optimize robust ETL/ELT pipelines using distributed data processing frameworks.
• Oversee large-scale data migration projects ensuring data integrity and minimal disruption.
• Design and maintain logical and physical data models for various use cases.
• Collaborate with data engineers and analysts to enhance data solutions.
• Ensure performance and reliability of data workflows through best practices.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field; Master's preferred.
• 7+ years of experience in data architecture or data engineering with a hands-on approach.
• Expertise in Databricks, including building data pipelines and leveraging Spark-based transformations.
• Proficiency in relational database development across platforms like SQL Server or PostgreSQL.
• Strong experience with data integration from ERP and CRM systems such as SAP, Oracle, and Salesforce.
• Proficient in SQL and Python for data transformation and automation.
• Solid understanding of data governance principles and data security best practices.

Benefits

• Open and communicative work environment that fosters individual initiative.
• Opportunities for career advancement and personal growth.
• Comprehensive medical and dental programs, life insurance, and generous paid time off.
• Retirement savings plan with company match and no waiting period for benefits.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.