Mindex
Computer Software
DataArchitect
“Data Architect at Mindex. Skills: Data Architecture, Data Platforms, Cloud Data, SQL. Design and implement scalable data architectures. Define and enforce data modeling standards”
What You'll Achieve.
designing scalable, secure, and high-performing data solutions; play a key role in shaping data strategy and architecture; supports analytics, reporting, artificial intelligence, and other data-driven initiatives; guide teams toward effective solutions; design and optimize modern data platforms; ensure data systems are reliable, secure, scalable, and aligned with business goals; creating a foundation for future growth; support analytics and operational use cases; enhance data capabilities
Industry & Context.
solving complex business challenges; translate business needs into robust data solutions
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.
What They're Looking For.
Must Have
BS degree in Computer Science, Data Science, Engineering, or equivalent software/services experience, 8+ years of progressive experience in data engineering, data architecture, or related disciplines, 5+ years of hands-on experience designing and implementing modern data platforms using technologies such as Snowflake, Databricks, Spark, or similar distributed data systems, 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 preference for Microsoft Azure, 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, 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
Nice to Have
preference for Microsoft Azure (e. g. , Azure Data Factory, Data Lake, Databricks, Spark, Azure ML, Cosmos DB)
What You'll Do.
Design and implement scalable data architectures
Define and enforce data modeling standards
Build and optimize enterprise data pipelines
Architect and manage data platforms
Collaborate with stakeholders to translate business needs
Establish and maintain data governance
Lead architecture decisions for data storage
Optimize performance and cost efficiency
Support Agile delivery frameworks
Implement and oversee CI/CD pipelines
Evaluate emerging technologies
How You'll Work.
Team & Collaboration
partnering with both technical and business stakeholders; work closely with data engineers, data scientists, business leaders, and clients; Collaborate with data engineers, data scientists, and business stakeholders; leading technical design within Agile delivery teams
Communication Scope
communication skills are important; translate complex technical concepts into clear recommendations; guide teams toward effective solutions
Process & Methodology
Support Agile delivery frameworks, contribute to sprint planning, backlog grooming, architectural roadmaps
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