Data Architect 3

Overview

Job Description:

The Data Architect 3 is responsible for designing governing and evolving the enterprise data architecture to support analytics operational reporting and data-driven decision-making. This role leads complex data architecture initiatives defines enterprise standards and patterns and partners closely with engineering analytics security and business teams. In addition to strategic architecture leadership this role is highly hands-on—performing deep-dive data analysis troubleshooting and root-cause investigation of complex data issues within Microsoft Fabric.

Responsibilities:

• Design and maintain enterprise data architecture including data models integration patterns and platform standards across cloud and on-prem environments.
• Lead architecture for complex data initiatives involving data lakes data warehouses streaming platforms and analytics ecosystems.
• Define document and enforce data architecture standards best practices and reference architectures to ensure consistency scalability and reliability.
• Partner with Data Engineering BI AI/ML and Product teams to translate business requirements into robust analytics solutions reports dashboards and data products.
• Perform deep-dive data analysis troubleshoot data quality and pipeline issues and resolve data integrity gaps across Microsoft Fabric (Lakehouse Warehouses Pipelines Power BI) including managing analytical transformation logic and data models using dbt or ADF.
• Ensure security privacy and governance requirements are embedded in design including access controls data classification lineage and compliance alignment.
• Lead conceptual logical and physical data modeling for analytical and enterprise data use cases.
• Provide technical leadership and mentorship to architects and engineers review solution designs and implementations.
• Support continuous improvement initiatives including performance optimization cost efficiency modernization and data quality enhancements.
• Mentor coach train and provide feedback to other team members; may provide feedback to leadership on technical abilities of team.

Minimum Qualifications:

• Bachelor's degree or equivalent experience
• 6–8+ years of experience in data engineering data architecture or analytics platform roles
• Experience designing and implementing enterprise-scale data platforms
• Strong hands-on experience with Microsoft Fabric (OneLake Lakehouse Data Warehouse Pipelines and Power BI)
• Extensive experience with data warehousing data lakes and data integration frameworks
• Strong hands-on experience with dbt (dbt Cloud or dbt Core) including model development testing documentation and deployment
• Demonstrated experience performing root-cause analysis debugging complex data issues validating datasets and resolving data quality problems
• Microsoft Windows and Office proficient
• Strong oral and written communications skills that demonstrate a professional demeanor and the ability to interact with others with discretion and tact
• Strong organizational multi-tasking and time management skills
• Strong collaboration skills applied successfully within team as well as with all levels of employees in other areas
• Strong Microsoft Excel skills
• Strong leadership sound judgement and business acumen skills
• Strong facilitation and project management skill
• Strong interpersonal skills: able to maintain solid rapport with team members as well as maintain professionalism with those outside of department
• Strong data gathering interviewing and analytical/problem solving skills
• Strong critical thinking and problem-solving skills
• Strong SQL and advanced data modeling capability
• Strong proficiency with Microsoft Fabric; familiarity with Snowflake Databricks BigQuery or Synapse beneficial
• Strong proficiency with data integration/orchestration tools
• Strong ability to use original thinking to translate goals into the implementation of new ideas and design solutions
• Self-motivated with the ability to manage projects to completion with minimal oversight
• Able to thrive in a fast paced deadline driven environment
• Strong attention to detail
• Demonstrated ability to influence motivate and mobilize team members and business partners
• Strong ability to develop and use engaging informative and compelling presentation methodologies
• Strong ability to handle sensitive information with discretion and tact
• Strong ability to establish rapport and gain the trust of others; effective at gaining consensus
• Ability to work independently and in a team environment
• Ability to coach mentor and provide feedback to team members in a timely manner
• Translate complex business needs into scalable resilient data architectures
• Strong knowledge of systems administration
• Strong knowledge of Microsoft Operating systems and products
• Up to 15% travel time required

Responsibilities

• Design and maintain enterprise data architecture including data models integration patterns and platform standards across cloud and on-prem environments.
• Lead architecture for complex data initiatives involving data lakes data warehouses streaming platforms and analytics ecosystems.
• Define document and enforce data architecture standards best practices and reference architectures to ensure consistency scalability and reliability.
• Partner with Data Engineering BI AI/ML and Product teams to translate business requirements into robust analytics solutions reports dashboards and data products.
• Perform deep-dive data analysis troubleshoot data quality and pipeline issues and resolve data integrity gaps across Microsoft Fabric (Lakehouse Warehouses Pipelines Power BI) including managing analytical transformation logic and data models using dbt or ADF.
• Ensure security privacy and governance requirements are embedded in design including access controls data classification lineage and compliance alignment.
• Lead conceptual logical and physical data modeling for analytical and enterprise data use cases.
• Provide technical leadership and mentorship to architects and engineers review solution designs and implementations.
• Support continuous improvement initiatives including performance optimization cost efficiency modernization and data quality enhancements.
• Mentor coach train and provide feedback to other team members; may provide feedback to leadership on technical abilities of team.

Basic Qualifications

• Hands-on proficiency with Microsoft Fabric (OneLake, Lakehouse, Data Warehouse, Pipelines, Power BI); strong SQL skills and advanced conceptual, logical, and physical data modeling expertise.
• Experience with dbt (Cloud or Core), data warehousing, data lakes, modern ELT/ETL frameworks, and troubleshooting complex data issues including root‑cause analysis, debugging, and data quality resolution.
• Familiarity with Snowflake, or Synapse, plus proficiency with data integration/orchestration tools such as ADF, Fabric Pipelines, or Airflow.
• Solid knowledge of data governance, privacy, lineage, access controls, compliance, and foundational systems administration and Microsoft OS/products.
• Strong leadership, including the ability to mentor teams, provide architectural guidance, influence stakeholders across engineering, analytics, AI/ML, product, and business, and drive alignment toward best practices and enterprise standards.
• Excellent communication, facilitation, and presentation skills with the ability to explain complex concepts clearly, build trust, handle sensitive information, and collaborate effectively across teams.
• Highly organized, with strong multi‑tasking, time‑management, analytical, and problem‑solving skills; attentive to detail and committed to data quality and operational excellence.
• Self‑motivated and able to work independently or collaboratively; capable of managing initiatives end‑to‑end in fast‑paced, deadline-driven environments while providing constructive feedback and supporting continuous improvement.
• Up to 10% travel required.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field—or equivalent practical experience.
• 6–8+ years in data engineering, data architecture, or analytics platform roles.
• Proven experience designing and implementing enterprise‑scale data platforms across cloud and on‑prem environments.
• Demonstrated experience leading architecture for data lakes, data warehouses, and complex data integration ecosystems.

What you can expect next

• Hyland Recruiters thoroughly review every application and will contact you within 1 to 2 weeks regarding next steps. Be sure to add Hyland to your contacts list and check your spam folder so you never miss a message from us!
• Interview Process:
  • Recruiter Screen
  • Hiring Manager Interview
  • Final round with (HM, Team member, and/or cross-functional partners)
  • Offer!

Benefits & Contract Type

Your recruiter will share more details throughout the process - feel free to ask about our Benefit packages!

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