Data Architect

The Data Architect is a technical position, with ultimate technical responsibility for ETL design and

development. The Data Architect designs and builds databases, develops strategies for warehouse

implementation, data acquisition and access, and data archiving and recovery. The candidate for this position will have a deep understanding and many years of experience working with SQL.

OVERVIEW OF RESPONSIBILITIES

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Databricks: Lead the design, development, and optimization of enterprise-scale Databricks pipelines for batch and streaming data, ensuring scalable, secure, and high-performance data processing across cloud environments.

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Data Modeling (nice-to-have): Support the creation and optimization of data models to enhance analytics, reporting, and business intelligence initiatives.

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Collaborate with business stakeholders to understand data requirements and design solutions to meet business needs.

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Provides technical leadership, creates standards for technical approaches and/or practices for their platform

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Maintains standards for interaction with their platform

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Is responsible for the overall health and efficiency of their platform

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Proactively work with other cross functional partners to keep their platform at a reasonable version level

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Maintains awareness of trends, new tools, efficiencies - shares with entire team on routine basis

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Establishes standards and best practices for database design, data integration, and data warehousing, ensuing integrity and quality data.

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Provides input and guidance to senior IT leadership for planning, forecasting, and budgeting

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Design, document, develop, test, debug, deploy, and support a variety of customizations or configurations for their platform

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Provide leadership and mentorship to data engineering teams in the execution of data architecture plans

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Collaborate with Data Engineers, Software Developers, and Business Analysts to ensure data architecture is aligned with operational analytic needs

Qualifications

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• Bachelor's degree in computer science, Information Systems, Data Management or 7-10 years of

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• equivalent experience

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• 10+ years of experience with Microsoft SQL technologies

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• Strong verbal and written communication skills, analytical and decision-making skills, and ability to

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• work on cross-functional teams

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• Solid understanding and usage of source control solutions

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• Change and release management skills

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• Strong requirements gathering and documentation skills

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• Strong analytical and problem-solving skills

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• Lead the design, development, and optimization of enterprise-scale Databricks pipelines for batch and streaming data, ensuring scalable, secure, and high-performance data processing across cloud environments.

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• Data Modeling (nice-to-have): Support the creation and optimization of data models to enhance analytics, reporting, and business intelligence initiatives