Antech Diagnostics
Analytics Data Architect (Hybrid, Fountain Valley ,CA)
Antech Diagnostics, Fountain Valley, California, us, 92728
Overview
Analytics Data Architect (Hybrid, Fountain Valley, CA) The Ideal candidate will design and optimize the data foundation that powers enterprise analytics, reporting, and AI-driven insights. This role combines deep expertise in data modeling with modern cloud architecture to deliver scalable, governed, and business-aligned data solutions. The position is hybrid based out of the Fountain Valley, California office. The target pay range is $130,180 - $162,725 annually. Current associates may need to apply through the internal career site. Please log into Workday and follow the Jobs Hub path to browse jobs. Key Responsibilities
Data Architecture & Modeling: Translate business requirements into conceptual, logical, and physical data models; design and maintain 3NF, dimensional (star schema), and cloud-native models optimized for analytics, BI, and operational use cases; implement data structures in Databricks and other cloud platforms for scalability, performance, and flexibility; establish and enforce data modeling and architecture standards with governance and compliance policies (US, EU, UK); conduct evaluations and POCs on new data modeling methodologies, observability tools, and integration patterns. Analytics Platform Enablement: Partner with data engineering, BI, and application teams to design scalable, high-performance data pipelines and models; integrate DataOps and DevOps practices to automate testing, validation, and CI/CD of analytics assets; deploy and manage data observability tools for monitoring lineage, data quality, and system health; define and maintain metadata, lineage, and quality frameworks to enable trust and transparency in analytics; contribute to the enterprise data modernization initiative, building a future-ready foundation for analytics and AI. Collaboration & Leadership: Serve as the technical authority on data modeling and analytics architecture; partner with business teams to ensure data assets meet reporting and analytics needs; provide guidance to engineering and analytics teams on best practices for data architecture, governance, and optimization; promote a culture of data-driven decision-making, compliance, and stewardship. Qualifications
Bachelor of Science in Computer Science or a related field; Masters preferred 6+ years of experience in data architecture, modeling, or database design Expertise with data modeling tools (ER Studio, Erwin, or equivalent) Strong command of SQL and query optimization Hands-on experience with Azure Databricks, Spark, Python, ETL/ELT frameworks Proven experience designing dimensional and relational models for OLTP/OLAP and analytics Familiarity with DataOps, DevOps, and CI/CD pipelines in a data environment Solid understanding of data governance, privacy, quality, and metadata management Strong problem-solving skills and ability to lead technical initiatives independently Excellent communication and stakeholder engagement skills Ability to thrive in a fast-paced, evolving environment with multiple priorities Physical Demands
Extensive sitting, phone, and computer use Extend and reach with hands and arms and use hands and fingers Occasionally required to bend, kneel, stoop, or crouch May be required to lift, move, and carry up to 15 lbs Specific vision abilities required including close vision, color vision, depth perception, and the ability to adjust focus Hearing ability to effectively communicate via the telephone and in person Ability to communicate verbally on the telephone and in person Fluency in the English language Extended hours may be needed Work Environment
The employee will primarily work in a typical office environment including use of cubicles, computers and overhead lighting. Temperature extremes will be minimal to nonexistent. The noise level in the work environment is usually moderate. The employee will be required to use a computer, spreadsheets, database management, email, and the Internet. The employee is frequently required to use a calculator; fax, copy machine, and phone system. About Antech
Antech is a leader in veterinary diagnostics, delivering innovation across a global network of reference laboratories, in-house instruments, digital cytology, data services, software, veterinary imaging, education, and clinical support services. We offer an industry-competitive benefits package and continue to invest in benefits programs for health, wellness, and financial needs. Equal Employment Opportunity
We are an Equal Opportunity Employer - Veterans / Disabled. For a complete EEO statement, please see our Career page at Antech Careers.
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Analytics Data Architect (Hybrid, Fountain Valley, CA) The Ideal candidate will design and optimize the data foundation that powers enterprise analytics, reporting, and AI-driven insights. This role combines deep expertise in data modeling with modern cloud architecture to deliver scalable, governed, and business-aligned data solutions. The position is hybrid based out of the Fountain Valley, California office. The target pay range is $130,180 - $162,725 annually. Current associates may need to apply through the internal career site. Please log into Workday and follow the Jobs Hub path to browse jobs. Key Responsibilities
Data Architecture & Modeling: Translate business requirements into conceptual, logical, and physical data models; design and maintain 3NF, dimensional (star schema), and cloud-native models optimized for analytics, BI, and operational use cases; implement data structures in Databricks and other cloud platforms for scalability, performance, and flexibility; establish and enforce data modeling and architecture standards with governance and compliance policies (US, EU, UK); conduct evaluations and POCs on new data modeling methodologies, observability tools, and integration patterns. Analytics Platform Enablement: Partner with data engineering, BI, and application teams to design scalable, high-performance data pipelines and models; integrate DataOps and DevOps practices to automate testing, validation, and CI/CD of analytics assets; deploy and manage data observability tools for monitoring lineage, data quality, and system health; define and maintain metadata, lineage, and quality frameworks to enable trust and transparency in analytics; contribute to the enterprise data modernization initiative, building a future-ready foundation for analytics and AI. Collaboration & Leadership: Serve as the technical authority on data modeling and analytics architecture; partner with business teams to ensure data assets meet reporting and analytics needs; provide guidance to engineering and analytics teams on best practices for data architecture, governance, and optimization; promote a culture of data-driven decision-making, compliance, and stewardship. Qualifications
Bachelor of Science in Computer Science or a related field; Masters preferred 6+ years of experience in data architecture, modeling, or database design Expertise with data modeling tools (ER Studio, Erwin, or equivalent) Strong command of SQL and query optimization Hands-on experience with Azure Databricks, Spark, Python, ETL/ELT frameworks Proven experience designing dimensional and relational models for OLTP/OLAP and analytics Familiarity with DataOps, DevOps, and CI/CD pipelines in a data environment Solid understanding of data governance, privacy, quality, and metadata management Strong problem-solving skills and ability to lead technical initiatives independently Excellent communication and stakeholder engagement skills Ability to thrive in a fast-paced, evolving environment with multiple priorities Physical Demands
Extensive sitting, phone, and computer use Extend and reach with hands and arms and use hands and fingers Occasionally required to bend, kneel, stoop, or crouch May be required to lift, move, and carry up to 15 lbs Specific vision abilities required including close vision, color vision, depth perception, and the ability to adjust focus Hearing ability to effectively communicate via the telephone and in person Ability to communicate verbally on the telephone and in person Fluency in the English language Extended hours may be needed Work Environment
The employee will primarily work in a typical office environment including use of cubicles, computers and overhead lighting. Temperature extremes will be minimal to nonexistent. The noise level in the work environment is usually moderate. The employee will be required to use a computer, spreadsheets, database management, email, and the Internet. The employee is frequently required to use a calculator; fax, copy machine, and phone system. About Antech
Antech is a leader in veterinary diagnostics, delivering innovation across a global network of reference laboratories, in-house instruments, digital cytology, data services, software, veterinary imaging, education, and clinical support services. We offer an industry-competitive benefits package and continue to invest in benefits programs for health, wellness, and financial needs. Equal Employment Opportunity
We are an Equal Opportunity Employer - Veterans / Disabled. For a complete EEO statement, please see our Career page at Antech Careers.
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