Data Architect Lead
IE
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Education & alternatives
Skills and Minimum Experience Required Bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience. 10+ years of hands-on experience in data architecture, data engineering, or solution architecture for modern enterprise data platforms. Strong practical expertise with Databricks, Azure Data Lake, Delta Lake, and lakehouse architecture. Strong knowledge of ETL/ELT patterns, dimensional and domain modelling, batch and streaming integration, and data-quality controls. Experience designing data platforms that support enterprise reporting, analytics, and self-service consumption. Working knowledge of Agile delivery, Git, CI/CD, DevOps practices, and Azure DevOps. Experience working within Agile and SAFe delivery models. Excellent communication, stakeholder management, and technical leadership skills. Preferred Skills and Experience
Tools in this posting
- Azure
- Databricks
- Delta Lake
- Power BI
Source — Tool mentions in context
Job Summary Acuity is seeking a Senior Data Architect to join the Acuity Digital Center of Excellence (DCoE) in Cork and define and guide scalable, governed data solutions across Databricks, Azure Data Lake, and the enterprise lakehouse. This is a hands-on architecture role that translates business and analytics needs into practical data architectures, reusable patterns, and technical roadmaps. The role partners closely with data engineering, platform, reporting, analytics, AI, and business teams, including supply chain and manufacturing stakeholders.
Architecture & Strategy Define target-state and transition architectures for Databricks, Azure Data Lake, and enterprise lakehouse capabilities. Create reference architectures and standards for data ingestion, ETL/ELT, modelling, integration, security, governance, and consumption. Translate business capabilities and non-functional requirements into logical and physical data architecture decisions. Lead architecture and design reviews, document decisions, and maintain a prioritized architecture roadmap. AI Fluency & Emerging Technologies: Pragmatically evaluate and incorporate artificial intelligence, machine learning pipelines, and LLM integrations into core system architectures to modernize capabilities and improve operational efficiency. Data Modelling & Governance
Delivery Leadership Provide hands-on technical direction, prototypes, and design support throughout Agile delivery. Guide engineering teams on scalability, reliability, performance, cost optimization, and maintainability. Identify architecture risks, dependencies, and technical debt and track decisions and actions through Azure DevOps. Mentor engineers and promote practical architecture guardrails without creating unnecessary delivery friction. Skills and Minimum Experience Required
Skills and Minimum Experience Required Bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience. 10+ years of hands-on experience in data architecture, data engineering, or solution architecture for modern enterprise data platforms. Strong practical expertise with Databricks, Azure Data Lake, Delta Lake, and lakehouse architecture. Strong knowledge of ETL/ELT patterns, dimensional and domain modelling, batch and streaming integration, and data-quality controls. Experience designing data platforms that support enterprise reporting, analytics, and self-service consumption. Working knowledge of Agile delivery, Git, CI/CD, DevOps practices, and Azure DevOps. Experience working within Agile and SAFe delivery models. Excellent communication, stakeholder management, and technical leadership skills. Preferred Skills and Experience
Preferred Skills and Experience Proficiency with AI-assisted software development practices. Databricks or Microsoft Azure certification. Experience in supply chain, manufacturing, ERP, operations, or industrial data domains. Experience with Unity Catalog, metadata-driven frameworks, Power BI semantic models, AI/ML data readiness, or real-time data architectures. Experience leading architecture reviews, technical strategy, and portfolio-level technology decisions. Soft Skills
Tools & Technologies Architecture: Databricks, Azure Data Lake, Delta Lake, enterprise lakehouse. Development: Multi-language fluency. Data design: domain and dimensional modelling, bronze/silver/gold, data contracts. Governance: Unity Catalog, metadata, lineage, quality, privacy, retention, RBAC. Delivery: Azure DevOps, Git, CI/CD, Agile and DevOps practices. The compensation is $X EUR. Acuity offers generous benefits including health care, dental coverage, vision plans, 401K benefits, and commissions/incentive compensation depending on the role. For a list of our benefits, click here.
Data Modelling & Governance Define domain-oriented data models, bronze/silver/gold patterns, data contracts, and reusable data-product standards. Establish expectations for metadata, cataloguing, lineage, data quality, retention, privacy, and role-based access. Align curated data with reporting, Power BI, analytics, data science, and AI use cases. Partner with governance and security teams to ensure solutions follow enterprise standards. Delivery Leadership
Posting record
Report an errorActively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 20, 2026 · 10 days ago
- Recorded sightings
- 49
- Last seen by us
- Oct 30, 2026
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Job description
Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people’s lives.
We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals.
Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www.acuityinc.com.
Job Summary
Acuity is seeking a Senior Data Architect to join the Acuity Digital Center of Excellence (DCoE) in Cork and define and guide scalable, governed data solutions across Databricks, Azure Data Lake, and the enterprise lakehouse.
This is a hands-on architecture role that translates business and analytics needs into practical data architectures, reusable patterns, and technical roadmaps. The role partners closely with data engineering, platform, reporting, analytics, AI, and business teams, including supply chain and manufacturing stakeholders.
This role combines deep technical leadership with hands-on architecture and coding, solution design, and engineering governance. The Senior Data Architect partners with Product Management, Engineering, Enterprise Architecture, DevOps, Security, and other business stakeholders to ensure solutions are scalable, secure, maintainable, and aligned to business objectives.
Key Tasks & Responsibilities (Essential Functions)
Architecture & Strategy
Define target-state and transition architectures for Databricks, Azure Data Lake, and enterprise lakehouse capabilities.
Create reference architectures and standards for data ingestion, ETL/ELT, modelling, integration, security, governance, and consumption.
Translate business capabilities and non-functional requirements into logical and physical data architecture decisions.
Lead architecture and design reviews, document decisions, and maintain a prioritized architecture roadmap.
AI Fluency & Emerging Technologies: Pragmatically evaluate and incorporate artificial intelligence, machine learning pipelines, and LLM integrations into core system architectures to modernize capabilities and improve operational efficiency.
Data Modelling & Governance
Define domain-oriented data models, bronze/silver/gold patterns, data contracts, and reusable data-product standards.
Establish expectations for metadata, cataloguing, lineage, data quality, retention, privacy, and role-based access.
Align curated data with reporting, Power BI, analytics, data science, and AI use cases.
Partner with governance and security teams to ensure solutions follow enterprise standards.
Delivery Leadership
Provide hands-on technical direction, prototypes, and design support throughout Agile delivery.
Guide engineering teams on scalability, reliability, performance, cost optimization, and maintainability.
Identify architecture risks, dependencies, and technical debt and track decisions and actions through Azure DevOps.
Mentor engineers and promote practical architecture guardrails without creating unnecessary delivery friction.
Skills and Minimum Experience Required
Bachelor’s degree in computer science, information systems, engineering, or a related field, or equivalent practical experience.
10+ years of hands-on experience in data architecture, data engineering, or solution architecture for modern enterprise data platforms.
Strong practical expertise with Databricks, Azure Data Lake, Delta Lake, and lakehouse architecture.
Strong knowledge of ETL/ELT patterns, dimensional and domain modelling, batch and streaming integration, and data-quality controls.
Experience designing data platforms that support enterprise reporting, analytics, and self-service consumption.
Working knowledge of Agile delivery, Git, CI/CD, DevOps practices, and Azure DevOps.
Experience working within Agile and SAFe delivery models.
Excellent communication, stakeholder management, and technical leadership skills.
Preferred Skills and Experience
Proficiency with AI-assisted software development practices.
Databricks or Microsoft Azure certification.
Experience in supply chain, manufacturing, ERP, operations, or industrial data domains.
Experience with Unity Catalog, metadata-driven frameworks, Power BI semantic models, AI/ML data readiness, or real-time data architectures.
Experience leading architecture reviews, technical strategy, and portfolio-level technology decisions.
Soft Skills
Strong analytical and structured problem-solving skills.
Clear communication across technical and business audiences.
A collaborative, ownership-focused approach to delivery.
Ability to balance quality, speed, maintainability, and operational needs.
Ability to explain architecture trade-offs and influence decisions without direct authority.
Tools & Technologies
Architecture: Databricks, Azure Data Lake, Delta Lake, enterprise lakehouse.
Development: Multi-language fluency.
Data design: domain and dimensional modelling, bronze/silver/gold, data contracts.
Governance: Unity Catalog, metadata, lineage, quality, privacy, retention, RBAC.
Delivery: Azure DevOps, Git, CI/CD, Agile and DevOps practices.
The compensation is $X EUR. Acuity offers generous benefits including health care, dental coverage, vision plans, 401K benefits, and commissions/incentive compensation depending on the role. For a list of our benefits, click here.
We value diversity and are an equal opportunity employer. All qualified applicants will be considered for employment without regards to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law.
Accommodation in the Application Process: Acuity Inc. is an equal opportunity employer. It complies with the Americans with Disabilities Act (ADA) and other applicable laws requiring reasonable accommodation of persons with disabilities in employment. This includes the provision of reasonable accommodation in the application process. If you believe you need reasonable accommodation to assist with our online application system or any aspect of the application process, please contact Human Resources at (770) 922-9000, and select option 4. Please be prepared to identify the requisition / position applied for and the aspect of the application process for which you believe accommodation is needed. The company will engage in an interactive process with you to better understand the request and to determine whether reasonable accommodation is needed and available.
Any unsolicited resumes sent to Acuity Inc. from a third party, such as an Agency recruiter, including unsolicited resumes sent to an Acuity Inc. mailing address, fax machine or email address, directly to Acuity Inc employees, or to Acuity Inc. resume database will be considered Acuity Inc. property. Acuity Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Acuity Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.
Protecting Yourself from Recruitment Scams: Acuity is committed to maintaining the integrity of our Talent Acquisition process and the security of our candidates. We are aware of phishing and fraudulent schemes in which individuals impersonate Acuity representatives or recruiting partners to solicit payments or sensitive personal information.
As you navigate your job search, please keep the following in mind:
- No Financial Requests: Acuity will never ask candidates for payment, credit card information, banking details or other financial information during the interview process.
- Verify Recruiter Communications: Legitimate communications from Acuity recruiters will come from an “@acuityinc.com” email address. If you are contacted by a recruiting agency regarding a role with Acuity, the agency should clearly identify itself and its relationship to Acuity. If you suspect any suspicious activity, verify the agency legitimacy by contacting +1 877-584-1411, option# 0.
- Be Alert for Suspicious Activity: Exercise caution if you receive unsolicited outreach with unusual requests, grammatical errors, requests for personal or financial information, or pressure to act quickly. Always verify the sender before sharing information or clicking links.
- Report Suspected Fraud: If you receive a suspicious message or believe someone is impersonating Acuity or one of our recruiting partners, please contact +1 877-584-141, option# 0, report the incident to the FTC at ReportFraud.ftc.gov, or to your state attorney general.
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