Data Solution Architect

R.W. Mercer Co.; Raleigh (NC); Remote; USD 90,000 - 130,000; Full time

Job summary

A leading company is seeking a Remote Data Solution Architect to drive data architecture initiatives and ensure best practices in data integration and governance. The role involves designing scalable data solutions, collaborating with stakeholders, and guiding development teams. Ideal candidates have experience with cloud platforms and modern data tools, along with strong problem-solving skills in a remote environment.

Qualifications

• 2+ years of experience in data architecture or data engineering roles.
• Strong experience with cloud platforms and modern data tools.
• Excellent communication and problem-solving skills in a remote work setting.

Responsibilities

• Design end-to-end data architecture solutions including data lakes and warehouses.
• Collaborate with stakeholders to translate business needs into scalable data infrastructure.
• Guide development teams in implementing solutions following architectural blueprints.

Skills

Data modeling

ETL design

Cloud platforms (AWS, Azure, GCP)

Data governance

Problem-solving

Communication

Tools

Snowflake

Databricks

BigQuery

Job description

We are seeking a strategic and technically skilled Remote Data Solution Architect to lead the design and implementation of scalable data solutions across our organization. This role will drive data architecture initiatives, align technology with business goals, and ensure best practices in data integration, modeling, and governance within a remote, collaborative environment.

Key Responsibilities:

Design end-to-end data architecture solutions, including data lakes, warehouses, pipelines, and APIs

Collaborate with stakeholders to translate business needs into scalable data infrastructure

Define and enforce data architecture standards, governance, and security policies

Select appropriate technologies and tools for data storage, processing, and analytics

Guide development teams in implementing solutions following architectural blueprints

Ensure performance, reliability, and scalability of all data systems and platforms

Requirements:

2+ years of experience in data architecture or data engineering roles

Expertise in cloud platforms (AWS, Azure, or GCP) and modern data tools (e.g., Snowflake, Databricks, BigQuery)

Strong experience with data modeling, ETL design, and distributed data systems

Familiarity with governance, security, and compliance in large-scale data environments

Excellent communication and problem-solving skills in a remote work setting