> Markdown version of [/jobs/ext/216411-data-architect-remote](https://www.wearedevelopers.com/jobs/ext/216411-data-architect-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - Remote - **Company:** Mindex Technologies Inc. - **Location:** Rochester, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $120,000.0 - $173,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Microsoft Azure, Big Data, Cloud Database, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Dataspaces, Data Systems, Data Vault Modeling, Data Warehousing, Software Design Patterns, DevOps, Distributed Computing Environment, Distributed Data Store, Github, R (Programming Language), Python (Programming Language), Meta-Data Management, Scrum Methodology, Azure Machine Learning, Salesforce.Com, SQL Databases, Systems Integration, Data Storage Technologies, Azure Data Factory, Delivery Pipeline, Snowflake, Apache Spark, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Information Technology, Cosmos DB, Data Management, Machine Learning Operations, Physical Data Models, Terraform, Stream Processing, Ansible Tower, Data Pipelines, Api Management, Databricks - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=4c32603ea351f9bf ## About the Role Do you have experience in Systems integration?, Do you have a Bachelor's degree?, * BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience required * 8+ years of progressive experience in data engineering, data architecture, or related disciplines, including enterprise-scale data solution design * 5+ years of hands-on experience designing and implementing modern data platforms using technologies such as Snowflake, Databricks, Spark, or similar distributed data systems * Strong experience (5+ years) in Python, SQL, PySpark, R, or comparable languages for large-scale data processing and analytics * Proven experience architecting, building, and optimizing complex data pipelines, data ecosystems, and large, multi-source data environments * 3+ years of experience designing and supporting cloud-based data architectures, with a strong preference for Microsoft Azure (e.g., Azure Data Factory, Data Lake, Databricks, Spark, Azure ML, Cosmos DB) * Demonstrated experience leading or influencing architecture decisions and establishing standards for scalable, secure, and high-performing data solutions * Experience implementing data governance, data security, privacy, and compliance frameworks in enterprise environments * Hands-on experience with Agile methodologies and leading technical design within Agile delivery teams * Experience with CI/CD, DevOps, and infrastructure-as-code practices (e.g., Azure DevOps, Terraform, ARM, GitHub Actions, Ansible Tower), including establishing automation and deployment standards * Experience integrating enterprise systems and platforms, including Salesforce FSC and/or Salesforce Data Cloud * Proven ability to mentor engineering teams and influence technical strategy, best practices, and architectural direction Skills & Competencies: * Strong expertise in data architecture design, including data lakes, warehouses, and streaming systems * Advanced proficiency in SQL and distributed data processing frameworks (e.g., Spark, Databricks) * Experience with Microsoft Azure and modern cloud-based data platforms * Knowledge of ETL/ELT design patterns and data integration best practices * Familiarity with data modeling techniques (dimensional, normalized, Data Vault, etc.) * Knowledge of CI/CD pipelines, infrastructure as code, and MLOps practices * Understanding of API integrations and enterprise system connectivity, Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over, sponsorship of an employment Visa at this time. ## Description * 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 ## Related Videos - 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