senior data warehouse architect

University of California - San Francisco

<div>The EIA Health Finance team is seeking a highly experienced Senior Data Engineer / Data Platform Architect to support, enhance, and evolve OmniView , UCSF Health&rsquo;s enterprise data warehouse for financial analytics.
OmniView is a mission-critical platform supporting budgeting, cost accounting, labor productivity, and service line analytics . This role combines hands-on engineering, production support, and solution architecture , with a strong emphasis on building scalable, sustainable, and agile data and reporting platforms .
The ideal candidate is equally comfortable managing production systems, architecting enterprise solutions, and collaborating with business and technical stakeholders to deliver high-impact analytics.
Healthcare Domain Expertise (Required)
Experience with healthcare data , specifically:
<ul><li>Budgeting and financial planning
</li><li>Cost accounting
</li><li>Labor pro ductivity
</li>Service line analytics 
<li>
</li></ul>Key Responsibilities
1. OmniView Data Warehouse Ownership (Primary Focus)
<ul><li>Support, maintain, and enhance the OmniView enterprise data warehouse
</li><li>Design and optimize data models supporting:
<ul><li>Budgeting &amp; forecasting
</li><li>Cost accounting
</li><li>Labor productivity
</li><li>Service line analytics
</li></ul></li><li>Develop and manage ETL/ELT processes using SQL Server (SSMS), SSAS
</li><li>Ensure high performance, reliability, and data quality
</li><li>Manage version control and deployments using GitHub
</li><li>Partner with finance stakeholders to evolve the platform
</li></ul>2. Production Support &amp; Operations (Critical)
<ul><li>Own production support, monitoring, and maintenance of:
<ul><li>Data pipelines
</li><li>Data warehouse systems
</li><li>Reports and dashboards
</li></ul></li><li>Troubleshoot data issues, performance bottlenecks, and failures
</li><li>Implement monitoring, alerting, and incident response processes
</li><li>Ensure SLAs for critical financial reporting systems
</li><li>Continuously improve system stability and operational efficiency
</li></ul>3. Data Architecture &amp; Platform Design (Key Attribute)
<ul><li>Architect scalable, sustainable, and agile data platforms
</li><li>Work closely with system owners, finance leaders, and stakeholders
</li><li>Translate business needs into cohesive technical solutions
</li><li>Design end-to-end data flows across:
<ul><li>SQL Server ecosystem
</li><li>Microsoft Fabric
</li><li>Databricks
</li><li>BI tools
</li></ul></li><li>Drive modernization of legacy systems
</li></ul>4. Data Engineering &amp; Modern Platforms
<ul><li>Extend OmniView into modern platforms ( Fabric, Databricks )
</li><li>Build scalable data pipelines and integrations
</li><li>Optimize performance and cost efficiency
</li></ul>5. Data Science &amp; Advanced Analytics
<ul><li>Develop models for forecasting and financial insights
</li><li>Apply statistical and machine learning techniques
</li><li>Explore AI / GenAI use cases (e.g., OpenAI)
</li></ul>6. Business Intelligence &amp; Reporting
<ul><li>Develop dashboards using Power BI
</li><li>Enable self-service analytics for finance teams
</li><li>Deliver insights via strong data storytelling</li></ul></div>

Senior Data Engineer / Data Platform Architect

Radinnova

Position OverviewWe are seeking an experienced Data Warehouse Architect to design, build, and evolve our enterprise data platform. This role is central to unifying data across our organization's critical business domains &mdash; including Order to Cash (O2C), Procure to Pay (P2P), and Finance Record to Report (R2R) &mdash; into a scalable, governed, and performant data warehouse. The ideal candidate brings deep expertise in enterprise data modeling, modern cloud data platforms, and hands-on experience integrating data from both large-scale ERP systems and niche industry platforms.Key ResponsibilitiesData Architecture &amp; Modeling<ul><li>Design and own enterprise-grade dimensional and relational data models across core business domains: Order to Cash (O2C), Procure to Pay (P2P), and Finance Record to Report (R2R)</li><li>Develop and maintain conceptual, logical, and physical data models aligned to business process frameworks (e.g., APQC, SAP reference models)</li><li>Establish and enforce data modeling standards, naming conventions, and architectural best practices across the organization</li><li>Define and manage data domains, subject areas, and data products to support self-service analytics and enterprise reporting</li></ul>Data Pipeline &amp; Integration<ul><li>Architect and oversee end-to-end data pipelines &mdash; ingestion, transformation, orchestration, and delivery &mdash; for batch and near-real-time workloads</li><li>Lead the integration of structured and semi-structured data from ERP and operational systems into the data warehouse</li><li>Evaluate, select, and implement ETL/ELT tools and frameworks appropriate to the platform stack</li><li>Ensure pipeline reliability, observability, and scalability through monitoring, alerting, and automated testing practices</li></ul>Cloud Platform Engineering<ul><li>Architect and manage cloud-based data warehouse environments on Microsoft Fabric and/or AWS (Redshift, Glue, S3, Lake Formation, or equivalent)</li><li>Design lakehouse and medallion architectures (Bronze / Silver / Gold) where appropriate</li><li>Optimize platform performance, cost, and security in alignment with enterprise cloud governance standards</li></ul>ERP &amp; Source System Integration<ul><li>Lead data extraction and mapping from enterprise ERP platforms, like SAP including complex financial, procurement, and sales modules</li><li>Integrate data from niche and industry-specific ERP platforms including Clipboard K8 and Stone Profit System</li><li>Collaborate with ERP functional teams to understand business processes, data flows, and source-system data quality characteristics</li><li>Document source-to-target mappings and maintain data lineage across all integrated systems</li></ul>Governance &amp; Quality<ul><li>Define and implement data governance frameworks, including data ownership, stewardship, and quality rules across integrated domains</li><li>Partner with data governance and compliance teams to ensure data accuracy, completeness, and auditability &mdash; especially for financial reporting (R2R)</li><li>Implement and maintain master data management (MDM) principles for key entities such as customers, vendors, and chart of accounts</li></ul>Leadership &amp; Collaboration<ul><li>Serve as the technical lead and subject matter expert for all data warehouse and data modeling initiatives</li><li>Mentor and guide data engineers and analysts on architecture standards and best practices</li><li>Partner with business stakeholders across Finance, Supply Chain, and Operations to translate requirements into scalable data solutions</li><li>Engage with vendors, consultants, and third-party data providers as needed</li></ul>Required Qualifications<ul><li>5&ndash;10 years of progressive experience in data warehousing, data architecture, or data engineering roles</li><li>Proven expertise designing enterprise data models for Order to Cash, Procure to Pay, and/or Finance Record to Report business domains</li><li>Strong proficiency in SQL and experience with dimensional modeling (Kimball, Inmon) and modern data vault methodologies</li><li>Hands-on experience building and managing data pipelines using tools such as dbt, Azure Data Factory, AWS Glue, Apache Airflow, or similar</li><li>Demonstrated experience with cloud data platforms &mdash; Microsoft Fabric and/or AWS (Redshift, S3, Glue, Athena, etc.)</li><li>Meaningful experience integrating data from SAP including financial, logistics, and procurement modules</li><li>Solid understanding of data governance, data quality frameworks, and metadata management</li></ul>Preferred Qualifications<ul><li>Experience with niche ERP platforms including Clipboard K8 and/or Stone Profit System</li><li>Familiarity with Microsoft Fabric components: OneLake, Lakehouse, Data Pipelines, and Semantic Models</li><li>AWS certifications (e.g., AWS Certified Data Analytics &ndash; Specialty) or Microsoft certifications (e.g., DP-700 Fabric Analytics Engineer)</li><li>Experience with BI and reporting platforms such as Power BI, Tableau, or Phocas</li><li>Background in financial close processes, revenue recognition, or supply chain operations</li><li>Familiarity with data catalog and lineage tools (e.g., Purview, Alation, Collibra)</li><li>Experience with real-time or streaming data architectures (Kafka, Kinesis, Event Hubs)</li></ul>Work Location: Hybrid remote in Livonia, MI 48150

Data Warehouse Architect

University of Wisconsin–Madison

<div>Current employees: if you are currently employed at any of the universities of wisconsin, log in to workday to apply through the internal application process.
Job category:
Academic Staff
Employment type:
Regular
Job profile:
Technical Integration Eng III
Job summary:<div>
<div>
The Wisconsin Health Data Hub (WHDH), funded by the U.S. Economic Development Administration (EDA), is developing a secure, cloud-native data platform designed to deliver high-quality real-world data to support biomedical research, advanced analytics, and AI-driven discovery.

</div><div>The Data Solutions Architect provides senior technical leadership responsible for designing, implementing, and governing the architecture of WHDH&rsquo;s data platform. This role ensures the secure, scalable integration, storage, and analysis of complex clinical and research data assets across a cloud-based environment. The position supports advanced analytics, machine learning, and federated research capabilities while maintaining compliance with HIPAA and institutional data governance standards.

</div><div>Working closely with data engineers, AI specialists, security analyst, and governance leaders, the Data Solutions Architect will translate research and operational requirements into scalable data architecture solutions that support WHDH&rsquo;s long-term platform strategy.

</div><div>Key Responsibilities:
</div><div>Data Architecture and Platform Design</div>
<div><ul>
<li>Design and implement the architectural framework supporting WHDH&rsquo;s secure, cloud-native data platform.
</li><li>Develop scalable architectures for ingesting, harmonizing, storing, and delivering structured and unstructured health data.
</li><li>Establish data models, metadata frameworks, and integration architectures that support advanced research workflows.
</li><li>Design high-performance analytics capabilities enabling AI, machine learning, and large-scale data analysis.</li>
</ul></div>
<div>Data Integration and Interoperability</div>
<div>
<ul><li>Architect secure data pipelines for ingestion and transformation of multi-source clinical and research datasets.
</li><li>Enable interoperable data exchange across contributing health systems and research institutions.</li>
<li>Implement scalable services supporting federated queries, distributed analytics, and secure data sharing.
</li></ul></div><div>Data Governance and Security</div>
<div><ul>
<li>Ensure compliance with HIPAA, institutional governance policies, and research data security standards.
</li><li>Establish architectural best practices related to data governance, reproducibility, and responsible use of sensitive health data.</li>
<li>Design solutions that support secure access control, auditing, and governance across the WHDH data ecosystem.</li>
</ul></div>
</div><div><div>Platform Innovation and Strategy
</div>
<div><ul><li>Guide the adoption of modern data platform architecture that enhance data discovery, metadata management, and scalable research workflows.
</li><li>Evaluate and implement emerging trends that improve interoperability, accessibility, and performance of WHDH data assets.</li>
<li>Develop modular, extensible platform components that enable technology transfer and sustainability beyond the grant period.</li>
</ul></div>
<div>Collaboration and Leadership
</div>
<div><ul><li>Collaborate with cross-functional teams including data engineers, AI researchers, security analyst, and governance leaders.
</li><li>Provide leadership in defining system design patterns and platform architecture standards.
</li><li>Support multi-institutional research initiatives by enabling secure and scalable collaborative data environments.
</li></ul></div><div>It is anticipated that this position will be remote and requires work be performed at an offsite, non-campus work location. It is an expectation the finalist will have permanent residence within the State of Wisconsin. Successful applicants who do not currently live in Wisconsin must have plans to move to the State within a reasonable time from the position start date.
</div>
</div>Key job responsibilities:<ul><li>
Develops architectural patterns that support large-scale biomedical datasets, including real-world data, clinical text, imaging, and genomic data, enabling advanced analytics, machine learning, and AI-driven research workflows within a secure cloud environment</li></ul><ul><li>
Designs and implements data architecture that enables secure ingestion, normalization, and integration of clinical, research, and operational data from multiple health system partners while ensuring compliance with HIPAA, institutional policies, and data use agreements</li></ul><ul><li>
Participates in the evaluation of vendor software releases, upgrade planning, and impact. Documents and communicates system enhancements or changes</li></ul><ul><li>
Integrates, identifies, troubleshoots, monitors, and resolves complex and varied supported services, systems, network, and application problems according to established processes and procedures</li></ul><ul><li>
Assists in the design of system and infrastructure specifications, implementation, and/or integration, trend analysis, and capacity planning</li></ul><ul><li>
Designs small components and runs, maintains, and operates technical systems and infrastructure</li></ul><ul><li>
Plans, coordinates, and executes the development, testing, implementation, integration, and installation of moderately complex system resources, upgrades, and security components in alignment with industry best practices</li></ul><ul><li>
Defines and implements standards for healthcare data interoperability using frameworks such as HL7 FHIR, OMOP Common Data Model, and other biomedical data models to ensure consistent, high-quality data exchange across contributing institutions and research partners</li></ul><ul><li>
Serves as an expert point of contact for external stakeholders and IT partners regarding system integrations, identifies needs, provides solution options, and communicates issue updates and resolutions</li></ul><ul><li>
Plans and directs staff implementation of small to medium technical projects as needed</li></ul><ul><li>
Architects systems that enable privacy-preserving analytics, federated queries, and secure multi-institutional collaboration while maintaining strict data governance controls and enabling authorized researchers to discover and analyze distributed health datasets</li></ul><h1 class="jobSectionHeader">
Department:</h1>
School of Medicine and Public Health, Office of Informatics and Information Technology, Wisconsin Health Data Hub.
This position is within the School of Medicine and Public Health&rsquo;s Office of Informatics and Information Technology (IIT). IIT is a multidisciplinary team of data scientists, engineers, developers, and IT support staff. We offer a variety of Informatics and IT services to departments and research staff within the School of Medicine and Public Health and beyond to support the conduct of high-quality clinical and translational research.<ul>
<li>
Informatics: We provide innovative solutions and training for a broad spectrum of clinical and translational research utilizing real-world data to facilitate rapid translation of research findings into clinical practice, with an emphasis on precision medicine, healthcare delivery, and population health.</li>
<li>
Technology Solutions: We provide technology solutions to the School of Medicine and Public Health including cybersecurity, educational technology, and IT support.</li>
</ul><h1 class="jobSectionHeader">
Compensation:</h1>
The starting salary for the position is $110,000 annually, but is negotiable based on experience and qualifications.<div>
Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits.</div><h1 class="jobSectionHeader">
Required Qualifications:</h1><div><ul>
<li>At least 3 years' experience designing and implementing enterprise-scale data architectures; 5 years' preferred
</li><li>Expertise with cloud-native data platforms and distributed data solutions.</li>
<li>Experience designing secure data pipelines and large-scale data integration frameworks.
</li><li>Familiarity with healthcare or biomedical research data environments and relevant regulatory requirements.</li>
</ul></div><h1 class="jobSectionHeader">
Preferred Qualifications:</h1><div><ul>
<li>Experience with healthcare data standards and interoperability frameworks.</li>
<li>Experience supporting AI/ML and advanced analytics workloads.</li>
<li>Expertise with federated data architectures and secure multi-institutional data collaboration.
</li><li>Experience working in federally funded research programs or academic research environments.</li>
<li>Strong documentation and technical leadership skills
</li></ul></div><h1 class="jobSectionHeader">Education:</h1><ul><li>
Bachelor's degree preferred; focus in Computer Science, Information Systems, Data Engineering, or related field preferred.</li></ul><h1 class="jobSectionHeader">
How to Apply:</h1><div>

For the best experience completing your application, we recommend using Chrome or Firefox as your web browser.
To apply for this position, select either &ldquo;I am a current employee&rdquo; or &ldquo;I am not a current employee&rdquo; under Apply Now. You will then be prompted to upload your application materials.
</div><div>
Important: The application has only one attachment field. Upload the following documents in that field, either as a single combined file or as multiple files in the same upload area.
<ul>
<li>Cover letter</li>
<li>Resume</li>
</ul>
Your cover letter should address how your training and experience aligns with the required and preferred qualifications listed above. Application reviewers will rely on these written materials to determine which applicants move forward in the process. References will be requested from final candidates. All applicants will be notified once the search concludes and a candidate is selected.
</div><div>
University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. If you are selected for this position you must provide proof of work authorization and eligibility to work.

The department will not be able to support a request for a J-1 waiver. If you choose to pursue a waiver and apply for our position, neither the UW nor UWMF will reimburse you for your legal or waiver fees.
</div><h1 class="jobSectionHeader">
Contact Information:</h1><div>
Cody Roekle, croekle@wisc.edu, 16082637676</div><div>
Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.
</div>Institutional statement on diversity:
Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. 
 
The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. 
The University of Wisconsin-Madison is an Equal Opportunity Employer.
Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence by acknowledging skills and expertise from all backgrounds and encourage all qualified individuals to apply.
To request a disability or pregnancy-related accommodation for any step in the hiring process (e.g., application, interview, pre-employment testing, etc.), please contact the Divisional Disability Representative (DDR) in the division you are applying to. Please make your request as soon as possible to help the university respond most effectively to you.
Employment may require a criminal background check. It may also require your references to answer questions regarding misconduct, including sexual violence and sexual harassment. 
 
The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). 
 
The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.</div>

WHDH Data Solutions Architect

ArcelorMittal Tubular Products Al-Jubail

<div>
 
 ROLE SUMMARY
 
 
 The specialist, Data Architecture plays a crucial role in designing, implementing, and optimizing data architecture solutions to meet the organization's data management needs. This role involves developing data models, defining data standards, and ensuring data integrity and security across the enterprise business goals.
 
 
 
 
 
 ROLES &amp; RESPONSIBILITIES:
 
 
 1. Develop and maintain data architecture frameworks, standards, and policies to guide data management practices.
 
 
 2. Design and implement data models, databases, and data warehouses to support business requirements and analytics initiatives.
 
 
 3. Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
 
 
 4. Define data governance processes and controls to ensure data quality, consistency, and compliance with regulatory requirements.
 
 
 5. Evaluate and select data management tools and technologies to support data integration, storage, and retrieval needs.
 
 
 6. Conduct data analysis and profiling to identify data quality issues, anomalies, and opportunities for improvement.
 
 
 7. Provide technical guidance and support to project teams and stakeholders on data architecture best practices and methodologies.
 
 
 8. Stay updated on emerging trends and technologies in data management and recommend innovative solutions to enhance data architecture capabilities.
 
 
 
 
 
 JOB REQUIREMENTS:
 
 
 QUALIFICATION &amp; EDUCATION:
 
 
 
 
 
 &bull; Bachelor&rsquo;s degree in computer science, Information Technology, or a related field.
 
 
 &bull; Minimum of 4 years of progressive experience in data architecture, database design, and data modeling roles.
 
 
 &bull; Deep knowledge in data modeling tools and techniques, such as ER diagrams, dimensional modeling, and data flow diagrams
 
</div>

Specialist, Data Architecture

ELLKAY, LLC

<div>ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY&rsquo;s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies. 
 
Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today&rsquo;s data-rich world. 
 
ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy.
Job Description:
Senior Director of Data and AI/ML Architecture is the technical leader responsible for designing and guiding the end-to-end architecture of data &amp; machine learning systems across the enterprise. This role focuses on building scalable, reliable, and secure AI platforms, services, and patterns that power core products and internal decisioning
Essential Duties &amp; Responsibilities:<div><ul><li>
Define and maintain the technical architecture for AI systems, including model development, training, inference, and monitoring.</li><li>
Design reference architectures and reusable components for LLMs, agentic AI, recommendation systems, and predictive models.</li><li>
Partner with data engineering, product, and platform teams to translate business requirements into AI solutions and services.</li><li>
Establish standards for model lifecycle management, including feature stores, MLOps, CI/CD for ML, and experiment tracking.</li><li>
Collaborate with security, compliance, and legal teams to ensure responsible, secure, and compliant AI usage.</li><li>
Provide technical leadership and mentorship to AI/ML engineers, data scientists, and platform engineers.</li><li>
Evaluate emerging AI technologies, frameworks, and tools, and drive their adoption where appropriate.</li><li>
Create technical documentation, architectural guidelines, and decision records to ensure alignment and reusability.</li></ul>
Qualifications:<div><ul><li>
10+ years of experience in software engineering, data engineering, or AI/ML, with 5+ years focused on AI system design.</li><li>
Hands-on expertise with modern ML Engineering stack (e.g., Sagemaker, Spark, Kubernetes, feature stores, vector databases).</li><li>
Proven experience architecting large-scale AI platforms and production ML systems (training and low-latency inference).</li><li>
Strong understanding of MLOps practices, observability, and reliability for AI workloads.</li><li>
Ability to communicate complex technical concepts to technical and non-technical stakeholders.</li><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Engineering, Data Science, or related field (or equivalent experience).</li></ul></div></div>
Benefits:
ELLKAY offers a comprehensive and competitive benefit package that starts day one!
Including:<ul><li>
Medical, Dental, and Vision benefits</li><li>
Employer-paid Life and LTD</li><li>
401k w/ matching &ndash; once eligibility is met</li><li>
Work/life balance</li><li>
Paid Volunteer Program</li><li>
Flexible working hours</li><li>
Generous FTO</li><li>
Remote work options</li><li>
Employee Discounts</li><li>
Parental Leave</li></ul>
Our awesome culture includes:<ul><li>
Working with talented, collaborative, and friendly people who love what they do</li><li>
Professional growth within</li><li>
Innovation environment</li><li>
On site in HQ Free daily lunches</li></ul>
Additional information
At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets.
For more information on our company, visit www.ELLKAY.com.
ELLKAY LLC is a Smoke-Free Workplace.
ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</div>

Senior Director, Data & ML Architecture

ConnectOne Bank

<div><h2 class="jobSectionHeader">About us:</h2>
ConnectOne Bank proves that putting people first is a better way to do business. At ConnectOne, we&rsquo;re builders &mdash; of businesses, communities, and equity. Most importantly, we&rsquo;re building opportunities. Our mission is to ensure our employees feel empowered to make important decisions, reach their potential and truly make an impact.
ConnectOne is a growth organization by design; it is part of our DNA and we take pride in seeing our employees grow with us. Founded in 2005 by an entrepreneur, we have grown into a high-performing commercial bank, inspiring a new model for our industry&rsquo;s future. By embracing technology and all the ways it can help us become a world-class service organization, we support small business owners by fueling their mission.
People First is the blueprint for our culture. It is at the foundation of everything we do and the decisions we make. At ConnectOne, you have the opportunity to be a part of a dynamic culture and team. Develop your forward-thinking skills, thrive in an entrepreneurial setting, and succeed at &ldquo;a better place to be&rdquo;.
ConnectOne Bank is an Equal Housing and Equal Opportunity Lender, and a member of the Federal Deposit Insurance Corporation.<h2 class="jobSectionHeader"> 
About this role:</h2>
The Senior Data Engineer is the primary architect and builder of our data infrastructure. The purpose of this position is to design, develop, and maintain highly scalable data pipelines, robust data models, and a secure data warehouse. Operating primarily within an AWS ecosystem, this role ensures the reliable acquisition, transformation, and storage of critical business data to empower advanced analytics across the organization.<h2 class="jobSectionHeader"> 
In this role you will:</h2><ul><li>
Support the Bank&rsquo;s &ldquo;People First&rdquo; focus and rules of engagement&mdash;maintaining a professional demeanor, working as an active member of the CNOB team, providing clients excellent service, always striving to make CNOB &ldquo;A Better Place to Be&rdquo;</li><li>
Architect, build, and maintain data pipelines using Apache Airflow, ensuring seamless data movement across AWS S3 and Amazon Redshift.</li><li>
Design and implement scalable data models using dbt Labs, transforming raw data into clean datasets optimized for analytical querying.</li><li>
Facilitate the setup of new data sources, designing the architecture to securely and efficiently ingest data from third-party APIs, transactional databases, and external platforms into the data lake/warehouse.</li><li>
Maintain a deep understanding of the underlying data model to troubleshoot bottlenecks, optimize Redshift query performance, and implement rigorous data quality testing and alerting.</li><li>
Serve as a subject matter expert on data architecture, establishing best practices for code reviews, version control, and CI/CD workflows within the data engineering team.</li></ul><h2 class="jobSectionHeader">
Must haves:</h2><ul><li>
Strong &ldquo;People First&rdquo; interest and ability.</li><li>
Comprehensive understanding of cloud computing principles and cloud-native data architectures, specifically within the Amazon Web Services (AWS) ecosystem.</li><li>
Deep knowledge of modern data warehousing concepts, including schema design and data modeling methodologies.</li><li>
Understanding of data governance, data privacy regulations, and enterprise security best practices.</li><li>
Expert-level proficiency in SQL and Python.</li><li>
Hands-on mastery of dbt Labs, Apache Airflow, Amazon Redshift, and AWS S3.</li><li>
Strong proficiency with version control systems (Git/GitHub) and command-line interfaces.</li><li>
7+ years of progressive, dedicated experience in Data Engineering, Data Architecture, or a heavily overlapping software engineering field.</li><li>
The ability to quickly dissect complex pipeline failures, identify root causes in underlying data, and implement permanent solutions.</li><li>
The aptitude to listen to non-technical stakeholders, understand their analytical needs, and translate those needs into technical data structures.</li><li>
The capacity to thrive in a remote work environment, managing time effectively, and driving large-scale projects from conception to deployment with minimal oversight.</li><li>
A natural meticulousness required to ensure absolute data accuracy and system reliability.</li></ul><h2 class="jobSectionHeader">
Bonus Points For:</h2><ul><li>
AWS Certified Data Engineer, AWS Certified Solutions Architect, or official dbt Certification preferred but not required.</li></ul><h2 class="jobSectionHeader">
Additional information</h2>
Benefits:<ul><li>
World class health, vision, and dental benefits on day one</li><li>
401k with employer match</li><li>
Hybrid work from home (depending on role)</li><li>
Employee appreciation events (team building, softball games, food truck days, etc..)</li><li>
Employee assistance programs (EAP)</li><li>
Wellness programs (flu shot, preventive care, health programs and services discounts, etc..)</li><li>
Tuition reimbursement</li><li>
Employee Discount perks</li><li>
CNOB Community Service Events</li></ul>
&hellip;.and much, much more!
Studies have shown that individuals from underrepresented groups, may only apply to roles if they meet 100% of the qualifications. Roles evolve over time, especially with innovation, and you may be just the person we need. We hope you're open to learning new skills and growing with us. We encourage you to apply to continue making us &ldquo;a better place to be!&rdquo;
ConnectOne Bank is an equal opportunity employer and does not discriminate with respect to any term, condition or privilege of employment based on race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, military or veteran status, marital status, or status of an individual in any group or class protected by applicable federal, state, or local law.
ConnectOne Bank also provides reasonable accommodations for qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local laws. If an accommodation is needed to participate in the job application or interview process, please contact Talent Acquisition.</div>

Senior Data Engineer

MHC Kenworth

Description: 
Murphy-Hoffman Company, LLC is North America’s largest Kenworth truck Dealership and Leasing group. As MHC continues to grow, we have an opening for a Data Engineer. The Data Engineer is responsible for designing and developing data infrastructure to ensure availability of data throughout the organization, as well as implementing systems to integrate (replicate, extract, transform, load) data in batch or near-real-time. The data engineer works with the data architect and business analysts on source-to-target mappings to populate a data warehouse and writes code to transform the data and load it into the target data models. This position is fully in office 5 days a week in Leawood, KS.
 <ul>
<li>Develops, tests, and maintains data pipelines and Extract, Transform, Load activities.</li>
<li>Prepares data for various business use cases including data science, prescriptive and predictive modeling.</li>
<li>Collaborates with the data architect to build and maintain the data systems specified by the data architect’s data framework.</li>
<li>Designs, builds, and implements enterprise data warehouse and/or data lake for data storage and modeling in downstream analytics and reporting.</li>
<li>Creates and maintains data models designed according to best practices which improve performance, flexibility, and accuracy used for analytics and reporting.</li>
<li>Performs other duties as assigned by supervisor.</li>
</ul>
Qualifications: 
<ul>
<li>Bachelor’s degree in Data Management, Data Science, BI Analytics, or related</li>
<li>Proven expertise in data modeling and data transformation</li>
<li>Strong knowledge of database structure systems and data mining</li>
<li>Experience working with Snowflake, Azure Data Factory, Qlik Replicate, SQL, T-SQL, DBT, Microsoft Fabric, Python/PySpark.</li>
<li>Ability to work in a team environment and independently as</li>
<li>Ability to work effectively in fast-paced changing environment and effectively manage multiple priorities within established time</li>
<li>Proven ability to effectively communicate issues and potential resolutions to business units, other team members, project managers, and leaders as necessary.</li>
</ul>
Benefits: 
<ul>
<li>Competitive Salary</li>
<li>Medical, Dental and Prescription Insurance</li>
<li>Disability and Life Insurance</li>
<li>Paid Time Off program</li>
<li>401k and Profit Sharing with Employer Match</li>
<li>Flexible Spending Account</li>
<li>Internal Promotion Opportunities</li>
<li>On the Job Training</li>
</ul>

Data Engineer

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