HiringCafe
Posted 3w ago

Data Architect - Remote

@ Mindex
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Rochester, New York, United States
$120k-$173k/yrRemoteFull Time
Responsibilities:Design architectures, Build pipelines, Establish governance
Requirements Summary:8+ years in data engineering/architecture; BS in CS/DS/Engineering; 5+ years with Python/SQL/PySpark; 3+ years Azure cloud; experience with Snowflake/Databricks; data governance and CI/CD practices.
Technical Tools Mentioned:Snowflake, Databricks, Spark, Azure Data Factory, Cosmos DB, Azure DevOps, Terraform, ARM, GitHub Actions, Ansible Tower, Salesforce FSC, Salesforce Data Cloud, Python, SQL, PySpark, R, CI/CD, MLOps
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Job Description

With more than 30 years of success, Mindex is a software development and cloud services company known for delivering innovative solutions. We've built products like SchoolTool, Advanced Analytics, and our Integrations Platform from the ground up, giving us deep expertise in developing and scaling modern software.

Named the #1 Software Developer in the 2025 RBJ Book of Lists and ranked #80 in the Rochester Chamber Top 100, we're passionate about helping our clients succeed and creating opportunities for our team to grow and make an impact.

We are looking for a Data Architect who enjoys solving complex business challenges and designing scalable, secure, and high-performing data solutions. This person will play a key role in shaping data strategy and architecture that supports analytics, reporting, artificial intelligence, and other data-driven initiatives.

The ideal candidate is comfortable leading architecture discussions, establishing data standards and best practices, and partnering with both technical and business stakeholders. Strong communication skills are important, as you'll need to translate complex technical concepts into clear recommendations and guide teams toward effective solutions.

In this role, you'll work closely with data engineers, data scientists, business leaders, and clients to design and optimize modern data platforms. You'll help ensure data systems are reliable, secure, scalable, and aligned with business goals while creating a strong foundation for future growth.

Essential Functions: 

  • Design and implement scalable, high-performance data architectures across cloud and hybrid environments 
  • Define and enforce data modeling standards, including conceptual, logical, and physical data models 
  • Build and optimize enterprise data pipelines and data integration frameworks to support analytics and operational use cases 
  • Architect and manage data platforms leveraging technologies such as Snowflake, Databricks, Spark, and Azure Data services 
  • Collaborate with data engineers, data scientists, and business stakeholders to translate business needs into robust data solutions 
  • Establish and maintain data governance, data quality, and metadata management frameworks 
  • Ensure data privacy, security, and compliance requirements are met across all platforms and pipelines 
  • Lead architecture decisions for data storage solutions including data lakes, data warehouses, and real-time data processing systems 
  • Optimize performance and cost efficiency of data platforms and workloads 
  • Support Agile delivery frameworks and contribute to sprint planning, backlog grooming, and architectural roadmaps 
  • Implement and oversee CI/CD pipelines and infrastructure-as-code practices for data solutions 
  • Evaluate emerging technologies and recommend solutions to enhance data capabilities