platform engineer

Bennett Family of Companies

<div><h1 class="jobSectionHeader"><b>Data Platform Engineer</b></h1><div><p><b>
Department: </b>Data &amp; Analytics</p><p><b><br>
Location: </b>Hybrid</p><p><b><br>
Employment Type: </b>Full-Time</p></div><br>
<p>
</p><p></p><h2 class="jobSectionHeader"><b>Position Overview</b></h2><p>
We are seeking an experienced Data Engineer to join our growing team and play a central role in shaping our data strategy. This individual will be responsible for building, optimizing, and governing our Databricks-based data platform hosted on AWS connecting disparate data sources, enabling reliable data pipelines, and ensuring that high-quality data is available to support business intelligence, analytics, and machine learning initiatives.</p><p>
</p><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2><p><b>
Data Strategy &amp; Platform Governance</b></p><ul><li>
Partner with leadership to define and execute a comprehensive data strategy aligned with business goals.</li><li>
Establish standards and best practices for data ingestion, transformation, storage, and access across the organization.</li><li>
Drive adoption of data governance frameworks including data cataloging, lineage tracking, and quality monitoring.</li><li>
Champion a culture of data-driven decision-making by enabling self-service analytics capabilities.</li></ul><p>
</p><p><b>Databricks Platform Administration</b></p><ul><li>
Architect, configure, and maintain the Databricks environment hosted on AWS (EMR, S3, IAM, VPC, etc.).</li><li>
Manage Databricks workspaces, clusters, Unity Catalog, and access controls.</li><li>
Optimize compute and storage costs through cluster sizing, auto-scaling, and lifecycle management.</li><li>
Implement and maintain CI/CD pipelines for data workflows using tools
</li></ul><p></p><p><b>Data Integration &amp; Pipeline Development</b></p><ul><li>
Design and build scalable ETL/ELT pipelines to ingest data from a variety of sources including SaaS applications, databases, APIs, and streaming platforms.</li><li>
Leverage Delta Lake, Delta Live Tables, and Databricks Workflows to build reliable, incremental data processing solutions.</li><li>
Integrate cloud-native AWS services (Glue, Kinesis, EventBridge, Lambda) with the Databricks ecosystem.</li><li>
Ensure data pipeline reliability through monitoring, alerting, and automated recovery mechanisms.</li></ul><p>
</p><p><b>Collaboration &amp; Data Enablement</b></p><ul><li>
Partner with data analysts, data scientists, and business stakeholders to understand data requirements and deliver fit-for-purpose datasets.</li><li>
Develop and maintain data documentation, including data dictionaries, runbooks, and architecture diagrams.</li><li>
Mentor junior team members on best practices in data engineering and cloud-native development.</li></ul><h2 class="jobSectionHeader"><b>
Required Qualifications</b></h2><p><b>
Technical Skills</b></p><div><div><p><br>
</p><ul><li>5+ years of hands-on data engineering experience in a cloud environment.</li></ul></div><div><p><br>
</p><ul><li>Strong proficiency with Databricks (Notebooks, Workflows, Delta Lake, Unity Catalog, SQL Warehouses).</li></ul></div><div><p><br>
</p><ul><li>Deep expertise with AWS services: S3, IAM, VPC, Glue, Redshift, RDS, Lambda, Kinesis, or EventBridge.</li></ul></div><div><p><br>
</p><ul><li>Proficiency in Python for data engineering workloads; SQL expertise required.</li></ul></div><div><p><br>
</p><ul><li>Experience designing and building data lake / lakehouse architectures.</li></ul></div><div><p><br>
</p><p>Familiarity with data transformation tooling such as dbt, Apache Spark, or similar frameworks.</p></div><div><p><br>
</p><ul><li>Knowledge of data modeling concepts (dimensional modeling, data vault, or medallion architecture).</li></ul></div><br>
</div><p>
</p><p><b>Experience &amp; Education</b></p><div><div><p><br>
</p><ul><li>Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.</li></ul></div><div><p><br>
</p><ul><li>Proven track record of delivering end-to-end data platform solutions at scale.</li></ul></div><div><p><br>
</p><ul><li>Experience with infrastructure-as-code tools such as Terraform is a strong plus.</li></ul></div><div><p><br>
</p><ul><li>Databricks Certified Associate or Professional certification preferred.</li></ul></div><div><p><br>
</p><ul><li>AWS Certified Data Analytics or Solutions Architect certification preferred</li></ul></div><br>
</div><p><b>
We are not able to consider candidates who will require sponsorship at any point during employment.</b></p><p>
EEO/Vets/Women/Minorities/Disabled</p><p>
www.bennettig.com</p></div>

Data Platform Engineer

RHP Properties

<div><p><b>Job Description</b>
</p><p></p><p>Who is RHP Properties?</p><p>
Headquartered in Farmington Hills, Michigan, RHP Properties (www.rhp.com) is the nation's largest private owner and operator of manufactured home communities. With more than 380 communities throughout 33 states, we continue to expand our footprint to provide accessible and affordable housing across the country. All of this would not be possible without the energy and drive of our talented employees! We invest in our employees, with regular training, opportunities for advancement, and fun events to bring everyone together.</p><p>
RHP Properties is seeking Data Platform Engineer to lead the design, implementation, and evolution of the company's Microsoft Fabric data platform. This role will play a critical part in modernizing the enterprise data ecosystem by migrating legacy reporting and data systems into a scalable, governed, and high-performance Lakehouse architecture. This position combines data architecture, engineering, and platform ownership, requiring both strategic thinking and hands-on implementation. The successful candidate will design data models, build robust pipelines, integrate enterprise systems, and establish engineering best practices that support reliable analytics across the organization. This role focuses on data platform engineering and architecture rather than report development, ensuring RHP has a strong foundation for analytics, automation, and future AI initiatives.</p><p>
As RHP transitions toward a modern Fabric-based analytics ecosystem, this role will lead the technical design and implementation of the enterprise data platform. You will work closely with leadership, analysts, and engineering teams to build a trusted enterprise data foundation that enables:</p><ul><li>
Scalable data pipelines</li><li>
Standardized semantic models</li><li>
Governed self-service analytics</li><li>
High-performance reporting</li><li>
Advanced analytics and AI readiness</li></ul><p>
The role requires a strong engineering mindset and experience building production-grade data platforms rather than simply developing reports or dashboards.</p><p><b>
Key Responsibilities</b></p><p><b>
Platform Architecture &amp; Migration</b></p><ul><li>
Design and implement RHP&rsquo;s Microsoft Fabric data architecture including Lakehouse, Warehouse, Pipelines, and Notebooks.</li><li>
Lead migration of legacy data sources including SQL Server, flat files, SharePoint, APIs, and SFTP feeds into the Fabric platform.</li><li>
Implement medallion architecture (Bronze / Silver / Gold) and enterprise data modeling standards.</li><li>
Optimize performance, refresh speed, and scalability of data pipelines and semantic models.</li><li>
Define architectural patterns that support long-term platform scalability.</li></ul><p><b>
Data Engineering &amp; Integration</b></p><ul><li>
Build robust and scalable data ingestion pipelines using modern ELT/ETL patterns.</li><li>
Develop Python and SQL-based transformation frameworks to support repeatable data workflows.</li><li>
Integrate internal and external systems through APIs, secure data transfers, and automated pipelines.</li><li>
Implement data validation, logging, monitoring, and error handling to ensure reliability.</li><li>
Develop reusable frameworks for data ingestion and transformation.</li></ul><p><b>
Analytics Enablement</b></p><ul><li>
Design and maintain enterprise semantic models that serve as the trusted layer for reporting.</li><li>
Optimize Power BI datasets and semantic models for performance and usability.</li><li>
Enable self-service analytics by providing structured, governed datasets for analysts and business teams.</li><li>
Partner with analytics teams to improve data accessibility and reduce reporting inefficiencies.</li></ul><p><b>
Data Governance &amp; Quality</b></p><ul><li>
Implement enterprise data governance standards including naming conventions, lineage tracking, and access controls.</li><li>
Establish automated data quality validation frameworks.</li><li>
Ensure consistency, reliability, and traceability of enterprise data assets.</li><li>
Maintain documentation of data models, transformations, and platform architecture.</li></ul><p><b>
Data Platform Reliability</b></p><ul><li>
Implement monitoring and observability across pipelines and data models.</li><li>
Establish alerting mechanisms for data failures and performance degradation.</li><li>
Improve reliability and resilience of production data workloads.</li><li>
Identify and resolve bottlenecks in data pipelines and processing layers.</li></ul><p><b>
Engineering Practices</b></p><ul><li>
Implement Git-based version control for data platform artifacts.</li><li>
Develop CI/CD workflows for deployment and promotion of data pipelines and models.</li><li>
Promote testing, documentation, and maintainable engineering practices.</li><li>
Encourage reusable data engineering patterns and modular pipeline design.</li></ul><p><b>
Technology Stack</b></p><p>
The data platform environment includes technologies such as:</p><ul><li>
Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Notebooks)</li><li>
Power BI Semantic Models</li><li>
Python and SQL</li><li>
Azure Storage / Data Lake</li><li>
API integrations</li><li>
Git version control</li><li>
Data pipeline orchestration and monitoring tools</li></ul><p></p><p>
<b>Job Requirements</b>
</p><p></p><p><b>Required Technical Skills</b></p><ul><li>
Experience working with modern cloud data platforms such as Microsoft Fabric, Azure Synapse, Databricks, Snowflake, or similar.</li><li>
Strong Python and advanced SQL skills.</li><li>
Experience designing data warehouses and dimensional data models.</li><li>
Experience building data pipelines and ELT/ETL frameworks.</li><li>
Experience integrating data via APIs and automated data ingestion pipelines.</li><li>
Experience optimizing semantic models and Power BI datasets.</li><li>
Understanding of modern data architecture patterns such as medallion architecture and star schemas.</li></ul><p><b>
Professional Attributes</b></p><p>
Successful candidates will demonstrate:</p><ul><li>
Strong ownership mindset and execution discipline</li><li>
Ability to solve complex technical problems</li><li>
Focus on automation and process improvement</li><li>
Curiosity and adaptability with emerging technologies</li><li>
Attention to detail and commitment to high-quality engineering standards</li><li>
Strong communication skills and stakeholder empathy
</li></ul><p>Qualifications</p><ul><li>
Experience migrating legacy systems to cloud-based data platforms.</li><li>
Experience implementing CI/CD pipelines and DevOps practices.</li><li>
Experience with Git version control workflows.</li><li>
Experience implementing data governance frameworks.</li><li>
Familiarity with real estate, property management, or operational analytics.</li><li>
Minimum 3&ndash;5 years of hands-on experience delivering production data solutions.</li><li>
Proven track record building scalable data platforms, pipelines, or analytics architectures.</li><li>
Experience working with cross-functional teams to deliver enterprise data initiatives.</li></ul><p>
Success Indicators (First 6 Months)</p><p>
A successful hire will:</p><ul><li>
Establish Foundational Fabric platform architecture</li><li>
Deploy production-grade data pipelines</li><li>
Improve performance and reliability of enterprise datasets</li><li>
Standardize semantic models and reporting logic</li><li>
Reduce manual reporting and data inefficiencies</li><li>
Improve visibility and trust in enterprise data</li></ul><p><b>
We are Proud to Provide the following:</b></p><ul><li>
Access to benefits including medical, dental and vision insurance</li><li>
401K with company match</li><li>
Short-term and long-term disability</li><li>
Life insurance</li><li>
Generous Paid Time Off and holidays</li><li>
Flexible spending account</li></ul><p>
#indcorp</p></div><p></p>

Pallet

<div><div><p><b>About Pallet
</b></p><p>Pallet is building AI Agents to transform logistics &mdash; a $12 trillion global industry. We've raised $50M from top investors, including General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. In under two years, we've achieved 700% revenue growth and are just getting started.</p>
<p>
Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow logistics teams down &mdash; from scheduling and appointment setting to data entry and load management. Our flagship platform provides end-to-end visibility, control, and optimization, while our newest product, CoPallet, introduces AI Agents that can understand and execute requests in real time, and integrate directly with customer systems.</p>
<p>
As logistics providers look to generative AI to drive efficiency, many are turning to Pallet to lead the way. With deep industry expertise and cutting-edge AI capabilities, we're positioned to build the next $10B company in logistics.</p>
<p>
Join us and work alongside leaders from Google, DoorDash, YC, and more to shape the future of logistics tech.</p></div><p><b>
$195,000 - $265,000</b><br>
<i>Full-time / Onsite (5 days/week)</i></p>
<p><b>
About The Role</b></p>
<p>
Pallet is building AI infrastructure for logistics: systems that coordinate real warehouses, freight networks, and supply chains. We're looking for a founding engineer to build the security and platform foundations of the company from the ground up.</p>
<p>
This is a hands-on software engineering role. You will write production code, design infrastructure, and establish the systems that make Pallet secure, reliable, and scalable. The decisions you make today will become the defaults the company operates on for years.</p>
<p>
Security at Pallet is not a separate function or compliance layer. It is a design constraint embedded directly into the systems we build. We want someone who naturally asks:</p>
<ul>
<li>What happens when this fails?</li>
<li>Who should have access to this?</li>
<li>How do we reduce the blast radius?</li>
<li>Can we eliminate this problem entirely?</li>
<li>And then builds the answer.</li>
</ul>
<p>You'll work alongside engineers who trained production AI systems at Scale AI, built logistics infrastructure that powers millions of deliveries at DoorDash, and scaled financial tooling used by thousands of businesses at Rippling. Small team. High ownership. Large surface area.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Build and maintain the core platform services that power Pallet's AI systems and developer workflows</li>
<li>Design and implement authentication, authorization, secrets management, and access control systems</li>
<li>Build infrastructure that operates reliably across regions and environments with clear isolation boundaries and disaster recovery capabilities</li>
<li>Improve observability, monitoring, and operational tooling so engineers can confidently understand and debug production systems</li>
<li>Develop internal platforms and abstractions that allow product engineers to move quickly without compromising security or reliability</li>
<li>Partner with AI and product engineering teams to support model training, evaluation, and inference infrastructure</li>
<li>Identify systemic risks and eliminate entire categories of operational, security, and reliability problems</li>
<li>Own projects from architecture through production rollout</li>
</ul>
<p><b>Who You Are</b></p>
<ul>
<li>6+ years of software, backend, infrastructure, or platform engineering experience</li>
<li>Strong software engineering fundamentals and a track record of shipping production systems</li>
<li>Experience building security-sensitive systems, including authentication, authorization, secrets management, or infrastructure security</li>
<li>Strong understanding of cloud infrastructure, containers, networking, and distributed systems</li>
<li>Experience designing platforms, tooling, or abstractions that other engineers depend on</li>
<li>Comfortable moving from a blank document to a production deployment with minimal oversight</li>
<li>High ownership and strong engineering judgment</li>
<li>You write code every day and want to continue doing so</li>
</ul>
<p><b>Nice To Haves</b></p>
<ul>
<li>Experience at an early-stage startup where you helped define foundational technical decisions</li>
<li>Experience building multi-region or highly available systems</li>
<li>Experience supporting AI/ML infrastructure or model-serving platforms</li>
</ul>
<p><b>Our tech stack</b></p>
<ul>
<li>Database: PostgreSQL</li>
<li>Backend: Node.js + TypeScript, Encore for server-side development and managed DevOps, hosted on GCP</li>
<li>LLMs: OpenAI, Anthropic, Google (foundation models), Browserbase (browser automation)</li>
<li>Frontend: React + TypeScript, hosted on Vercel</li>
</ul>
<p><b>Interview Process</b></p>
<div>
<ul><li>Intro Chat with Head of Talent (30 mins)</li></ul>
<ul><li>Technical Screen + Meet and Greet with an Engineer (60 mins)</li></ul>
<ul><li>Executive Chat - Nilkanth, CTO (30-45 mins)</li></ul>
<ul><li>Final Interview, visit our Fidi office, and deep dive into technical and behavioral interviews (~3.5 hours)</li></ul>
</div>
<p><b>Compensation</b></p>
<p>
The estimated salary range for this role is $195,000 &ndash; $265,000, depending on experience and skill set. In addition to base salary, we offer competitive equity, benefits, and opportunities for growth. Final compensation will be determined based on a combination of factors, including experience, qualifications, and location.</p><div><p><b>
Our Benefits</b></p>
<p>
We invest in our people the same way we invest in our product: seriously.</p>
<ul><li> Health, Vision, and Dental benefits</li>
<li>️ Flexible PTO</li>
<li>➕ Life Insurance and Accidental Insurance</li>
❤️&zwj;<li> Short-Term Disability Coverage</li>
<li> Generous salary and equity for all staff</li>
<li> 401k option; helping you save for the future</li>
<li> Yearly learning and development stipend</li>
<li> Commuter benefits for Bay Area employees</li>
<li> Uber ride stipend if you ever have to work late in the office</li>
<li> Remote office home stipend to get you comfy in your space</li>
<li> Daily catered lunches provided</li>
<li>✈️ Onboarding trip to San Francisco HQ if you work remotely</li>
<li> Monthly happy hours</li>
 Annual Company Offsites; our last one was in Palm Springs CA
</ul>
<p><b>Workplace Policy</b></p>
<p>
We are an in-person company. Our offices in San Francisco and New York City are where ideas get built, decisions get made, and the team gets stronger. We have invested in making them genuinely great places to spend your day, with catered lunches, monthly happy hours, and people who care about the work and each other.</p>
<p>
Most of our team works in office five days a week. For select roles, we hire remotely across the U.S. Remote employees come to San Francisco for their first week to onboard and meet the team, and we cover the full trip. Most remote employees visit once a year after that, with all travel, lodging, and meals on us.</p>
<p>
Every role is different. Travel expectations are always shared upfront in the job description and confirmed in your first call with us. No surprises.</p>
<p><b>
Equal Opportunity</b></p>
<p>
Pallet is an Equal Opportunity Employer. We make all employment decisions based solely on merit. We provide equal employment opportunities to all applicants and employees without discrimination on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, disability status, or any other applicable legally protected characteristic. We prohibit any form of discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring.</p>
<p><b>
Candidate Privacy Notice</b></p>
<p>
Please review Pallet's Candidate Privacy Notice here.</p>
<p><b>
Accommodations</b></p>
<p>
Pallet complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local laws. We will reasonably accommodate qualified individuals with a disability during the application process and throughout employment as required by law.</p>
<p>
If you need any assistance or accommodations due to a disability, please contact us at <b>peopleops@pallet.com</b>.</p></div></div>

Security Platform Engineer

Quicklaunch Analytics

<div><p>At QuickLaunch Analytics, we help organizations simplify the complex world of data. As a <b>Data Platform Engineer</b>, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful deployment and adoption.</p>
<p>
This is a highly impactful, hybrid role that blends hands-on engineering with customer-facing consulting. You&rsquo;ll work across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready data solutions that power enterprise analytics.</p><br>
<p></p>
<p><b>
What </b><b>You&rsquo;ll</b><b> Do</b></p><br>
<p></p>
<ul>
<li><b>Design and deploy modern data platforms in Azure Databricks</b>, including full environment setup (storage, compute, catalogs, security) and infrastructure optimization</li>
</ul><ul><li><b>Build scalable data pipelines and Lakehouse solutions</b> using Python, SQL, and orchestration across Databricks and Microsoft Fabric</li>
</ul><ul><li><b>Lead customer implementations and technical delivery</b>, supporting new deployments, upgrades, and escalation troubleshooting in Azure environments</li>
</ul><ul><li><b>Develop and manage ETL/ELT integrations</b> across third-party tools and custom APIs, ensuring reliable, production-grade data workflows</li>
</ul><ul><li><b>Implement secure, high-performance data architectures</b>, including Unity Catalog, OneLake security, networking (VPNs, private endpoints), and cost optimization</li>
</ul><ul><li><b>Partner directly with customers as a technical advisor</b>, translating business needs into data platform solutions and driving best practices across Databricks and Fabric</li><br>
</ul>
<p><b>Who You Are</b></p><br>
<p></p>
<ul>
<li>Strong hands-on experience with <b>Databricks</b><b> and/or Fabric</b><b>,</b><b> Spark,</b><b> Python, and SQL</b>, with the ability to build and troubleshoot production-grade data pipelines</li>
</ul><ul><li>Solid foundation in <b>database concepts and data modeling</b>, with experience working across structured and semi-structured datasets</li>
</ul><ul><li>Experience with <b>ETL/ELT tools and data integration</b>, including tools like Fivetran and building/customizing <b>API-based data pipelines</b></li>
</ul><ul><li>Comfortable working in <b>customer-facing or consulting environments</b>, supporting new implementations in Azure Databricks or Microsoft Fabric</li>
</ul><ul><li>Working knowledge of <b>identity and access management concepts</b> (e.g., Entra ID users, groups, and permissions)</li>
</ul><ul><li>Strong aptitude for diagnosing, isolating, and resolving complex technical issues efficiently</li>
</ul><ul><li>Ability to communicate effectively with both technical and non-technical customers and team members</li>
</ul>
<p><b>Nice to Have</b></p>
<ul>
<li>Experience using <b>AI and automation tools</b> to streamline workflows, including exposure to <b>AI agents or intelligent automation frameworks</b></li>
</ul><ul><li>Experience configuring private endpoints in Azure, including networking setup and DNS configuration</li>
</ul><ul><li>Understanding of Power BI and Fabric licensing and how licensing might impact deployment approach</li>
</ul><ul><li>Familiarity with <b>Linux environments</b> and cloud-based data ecosystems</li></ul><br>
<p></p>
<p><b>
Working Location</b>: Remote (USA) or hybrid (Santa Cruz County, CA)</p><p><br>
<br>
<b>Compensation:</b> The estimated base salary range for this role is $125,000-155,000. There is also an opportunity for a discretionary bonus.</p><br>
<p></p>
<p><b>
About Us:</b></p>
<p>
At QuickLaunch Analytics, our purpose is to simplify the often-complex world of data analytics. For over 20 years, we&rsquo;ve helped 250+ companies make better decisions by delivering a unified platform for trusted, enterprise-wide data.</p>
<p>
We&rsquo;re a team of 35+ professionals with deep expertise in Power BI, Databricks, and Azure Cloud. Our culture is built on <b>ownership, collaboration, and continuous learning</b>, reflected in strong outcomes for both our customers and our team.</p>
<p>
If you enjoy solving complex data challenges and want to work closely with customers to deliver real-world impact, we&rsquo;d love to hear from you.</p></div>

Toyota North America

<div><div><p><b>Overview</b></p><p></p><p><b>
Who we are</b></p><p></p><div><p>
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world&rsquo;s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We&rsquo;re looking for talented team members who want to Dream. Do. Grow. with us.</p><p></p><p>
An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.</p></div><p></p><p><i>
To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position.</i></p><p></p><p><b>
Who we&rsquo;re looking for</b></p><p>
We are seeking a highly skilled <b>Lead Data Platform Engineer, Snowflake</b> to design, maintain, secure, and optimize our Snowflake data platform and analytical ecosystem that supports it. This role will be responsible for platform administration, user onboarding, governance, observability, audit readiness, and the establishment of Snowflake best practices across warehouses, databases, schemas, and access controls. The ideal candidate will also help build a Center of Excellence and evaluate new Snowflake capabilities such as Cortex and emerging agentic AI use cases.</p><p></p><p><b><br>
What you&rsquo;ll be doing</b></p><p>
In this role, your day may start with supporting platform health and access needs, then shift into improving performance, strengthening governance, or partnering with teams to enable new data capabilities. Success means being the person others trust to keep Snowflake stable, secure, and ready for growth while helping the organization adopt better practices and innovative features.</p><ul><li><p>
 Design, implement, and maintain a secure, scalable, and reliable Snowflake platform across multiple environments</p></li><li><p>
Manage Snowflake warehouses, databases, schemas, roles, and access controls following enterprise best practices</p></li><li><p>
Develop and enforce standards for performance optimization, cost management, workload management, and platform usage</p></li><li><p>
Administer platform security including role-based access control, least-privilege access, masking policies, row access policies, and audit controls</p></li><li><p>
Lead user onboarding activities including provisioning, access setup, role assignments, documentation, and enablement support</p></li><li><p>
Build and document best practices for Snowflake platform design, operations, governance, security, and support</p></li><li><p>
Monitor platform performance, cost, access activity, and usage trends through observability and audit capabilities</p></li><li><p>
Establish logging, auditing, and monitoring standards to improve operational visibility and compliance readiness</p></li><li><p>
Partner with data engineering, analytics, security, and infrastructure teams to support adoption and platform maturity</p></li><li><p>
Contribute as a core team member in setting up a Snowflake Center of Excellence to drive standards, reusable patterns, governance, and training</p></li><li><p>
Evaluate and recommend adoption of new Snowflake features including Cortex and other agentic or AI-enabled capabilities</p></li><li><p>
Troubleshoot platform issues related to performance, configuration, security, access, and operational stability</p></li></ul><p></p><p><b><br>
What you bring
</b></p><ul><li><p>8 or more years of experience designing, administering, and supporting Snowflake in an enterprise environment</p></li><li><p>
Strong understanding of Snowflake architecture including virtual warehouses, databases, schemas, storage, cloning, time travel, and secure data sharing</p></li><li><p>
Hands-on experience with Snowflake security models including masking policies, row-level security, and governance controls</p></li><li><p>
Experience with observability, audit logging, usage monitoring, and cost optimization for cloud data platforms</p></li><li><p>
Ability to document standards, operational procedures, governance controls, and best practices clearly and effectively</p></li><li><p>
Experience onboarding users and supporting cross-functional teams in a shared data platform environment</p></li><li><p>
Hands-on experience with AWS cloud services and solutions</p></li><li><p>
Strong communication, collaboration, and problem-solving skills</p></li></ul><p></p><p><b><br>
Added bonus if you have
</b></p><ul><li><p>Experience establishing or contributing to a Data Platform or Snowflake Center of Excellence</p></li><li><p>
Experience with automation for administrative tasks, access provisioning, monitoring, lineage capture, metadata management, or policy enforcement</p></li><li><p>
Understanding of enterprise governance frameworks, compliance expectations, and secure platform operations</p></li><li><p>
Experience partnering with data governance, analytics engineering, or business intelligence teams to improve trusted data usage at scale</p></li><li><p>
Familiarity with Snowflake Cortex and modern AI or agentic use cases within enterprise data environments</p></li><li><p>
Experience with automation and scripting for platform administration and operational efficiency</p></li><li><p>
Understanding of compliance-focused access governance and enterprise security practices</p></li></ul><p></p><p><b>
What we&rsquo;ll bring</b></p><p>
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:</p><ul><li><p>
A work environment built on teamwork, flexibility, and respect</p></li><li><p>
Professional growth and development programs to help advance your career, as well as tuition reimbursement</p></li><li><p>
Team Member Vehicle Purchase Discount</p></li><li><p>
Toyota Team Member Lease Vehicle Program (if applicable)</p></li><li><p>
Comprehensive health care and wellness plans for your entire family</p></li><li><p>
Flextime and virtual work options (if applicable)</p></li><li><p>
Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute</p></li><li><p>
Paid holidays and paid time off</p></li><li><p>
Referral services related to prenatal services, adoption, childcare, schools, and more</p></li><li><p>
Tax Advantage Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA</p></li><li><p>
Relocation assistance (if applicable)</p></li></ul><p></p><p><b>
Belonging at Toyota</b></p><p></p><p>
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members&rsquo; efforts to dream, do and grow without questioning that they belong.</p><p></p><p>
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.</p><p></p><p>
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.</p></div></div>

Lead Data Platform Engineer, Snowflake

DICETEK LLC

<div><p><b>Senior Platform Engineer (Azure Focus)</b></p><p><b>
Role Overview</b>: We are looking for a Senior Platform Engineer to design, build, and scale Azure cloud and hybrid-cloud ecosystems from the ground up for a large Financial Enterprise. You will be responsible for creating a robust foundation for our application teams, with a specific focus on operationalizing AI services, maintaining rigorous security standards, and optimizing cloud spend through FinOps best practices.</p><p><b>
Key Responsibilities:</b></p><ul><li><b>
Greenfield Infrastructure</b>: Architect and deploy production-ready Azure environments from scratch using a landing zone approach.</li><li><b>
AI Orchestration</b>: Integrate and manage Azure AI services (OpenAI, AI Search, Document Intelligence, Content Safety) to support AI-driven application development.</li><li><b>
Infrastructure as Code</b>: Standardize all deployments using Terraform to ensure consistency and modularity.</li><li><b>
API &amp; Connectivity</b>: Manage API lifecycles using Azure APIM and Kong, ensuring secure and performant communication between services.</li><li><b>
FinOps &amp; Monitoring</b>: Proactively manage cloud costs by analyzing SKUs and implementing advanced monitoring/alerting to prevent budget overruns.</li><li><b>
Automation</b>: Design automated GitHub Workflows to enable seamless CI/CD for both infrastructure and application code.</li></ul><p><b>
Technical Requirements:</b></p><ul><li><b>
Cloud</b>: 5+ years experience with Azure Cloud Platform.</li><li><b>
IaC</b>: Expert-level Terraform skills.</li><li><b>
AI Stack</b>: Familiarity with Azure AI Foundry and OpenAI Service.</li><li><b>
Networking</b>: Expert knowledge of Network Architecture (VNETs, Peering, Firewalls, Private Links).</li><li><b>
APIs</b>: Hands-on experience with Azure APIM or Kong.</li><li><b>
Deployment Architecture</b>: Proven ability to create professional Cloud Architecture Diagrams and provide Solutions Architecture guidance.</li></ul></div><p></p>

Sr. AI Cloud Platform Engineer- Azure

Quanta Services

<div><h2 class="jobSectionHeader"><b>About Us
</b></h2><div><div><div><div>Quanta Power Solutions brings together the industry-leading capabilities and resources of Quanta's operating companies to deliver complete EPC solutions. Our integrated approach spans power generation, battery energy storage, renewables, transmission, substation, and underground infrastructure &mdash; from concept to commissioning, we execute complex power infrastructure projects with the speed, certainty, and operational excellence our customers depend on.</div><div></div><div><br>
At Quanta Power Solutions, we are driven by a culture of safety, integrity, and disciplined execution &mdash; and we're building a team that shares that commitment.</div>
</div></div></div><h2 class="jobSectionHeader"><b>About this Role
</b></h2><div><div><div><div>Quanta Power Solutions is seeking an experienced Data &amp; Integration Platform Engineer to own, develop, and operate two complementary platforms at the center of our enterprise data ecosystem: Databricks and Boomi. This role is responsible for building and governing the end-to-end flow of data across the organization&mdash;from enterprise applications and integrations through curated analytics-ready datasets that support business intelligence, AI, and operational decision-making.</div><div>
The successful candidate will serve as the technical owner of both platforms, establishing standards, governance frameworks, and operating practices that will scale with the organization. This is a hands-on engineering role ideally suited for a professional who thrives in a greenfield environment and enjoys building modern data and integration capabilities from the ground up.</div>
</div></div></div><h2 class="jobSectionHeader"><b>What You'll Do
</b></h2><div><div><div><div><b>Integration Development (Boomi)</b></div><ul><li>
Design, develop, and maintain integration processes within Boomi AtomSphere connecting enterprise systems including JD Edwards, EcoSys, Salesforce, Dynamics 365, Kronos, Autodesk Construction Cloud (ACC/Forma), Bridgit, P6, LevelPath, Origami, and future applications.</li><li>
Develop and maintain REST and SOAP APIs, data transformation maps, cross-reference tables, and reusable integration components.</li><li>
Build event-driven, near-real-time, batch, and EDI/B2B integrations to support operational and supply chain business processes.</li><li>
Administer the Boomi AtomSphere environment, including Atom and Molecule management, environment configuration, deployment pipelines, and release processes.</li><li>
Establish integration standards, error-handling frameworks, logging practices, and reusable development patterns.</li></ul><div><b>
Data Platform Engineering (Databricks)</b></div><ul><li>
Design, develop, and maintain ETL/ELT pipelines utilizing Delta Live Tables, Databricks Jobs, notebooks, and Delta Lake architecture.</li><li>
Build and manage Bronze, Silver, and Gold layer datasets within the Databricks Medallion Architecture.</li><li>
Administer Unity Catalog, including data governance policies, access controls, lineage management, row-level security (RLS), and column-level security (CLS).</li><li>
Collaborate with BI developers and business stakeholders to create optimized, business-ready datasets for analytics and reporting.</li><li>
Support enterprise AI initiatives by maintaining clean, governed, and scalable datasets for Databricks Genie, Databricks Apps, and AI-powered business solutions.</li><li>
Optimize data models, queries, and platform performance to support growing analytical workloads.</li></ul><div><b>
Platform Operations &amp; Administration</b></div><ul><li>
Monitor platform health across both Boomi and Databricks environments and proactively resolve operational issues.</li><li>
Establish and maintain service level agreements (SLAs) related to data availability, freshness, completeness, and accuracy.</li><li>
Develop monitoring, alerting, and incident response processes for integrations and data pipelines.</li><li>
Manage platform security, credential management, API security policies, and user access controls.</li><li>
Partner with IT leadership to manage licensing, platform capacity planning, and infrastructure utilization.</li></ul><div><b>
Governance, Standards &amp; Documentation</b></div><ul><li>
Develop and enforce development standards, naming conventions, version control practices, and documentation requirements.</li><li>
Maintain a comprehensive inventory of integrations, data pipelines, data owners, business stakeholders, and system dependencies.</li><li>
Establish lifecycle management practices including change control, release governance, deprecation planning, and legacy system retirement.</li><li>
Define and evolve enterprise data governance frameworks, ownership models, quality standards, and data stewardship practices.</li><li>
Ensure compliance with internal security, audit, and regulatory requirements.</li></ul><div><b>
Stakeholder Engagement &amp; Leadership Partnership</b></div><ul><li>
Serve as the primary technical point of contact for enterprise data and integration initiatives.</li><li>
Gather business requirements and translate them into scalable integration and data platform solutions.</li><li>
Manage intake, prioritization, and execution of integration and data engineering requests.</li><li>
Collaborate closely with Finance, Operations, Supply Chain, Project Management, IT Leadership, and Corporate IT teams.</li><li>
Support roadmap development, platform strategy, and emerging technology initiatives.</li><li>
Present platform performance, risks, opportunities, and strategic recommendations to leadership.</li><li>
Coordinate with software vendors, implementation partners, and consultants to ensure successful project execution and knowledge transfer.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>What You'll Bring
</b></h2><div><div><div><div><b>Education</b></div><ul><li>
Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related technical discipline required.</li><li>
Master's degree preferred.</li></ul><div><b>
Experience</b></div><ul><li>
6&ndash;8 years of experience in data engineering, enterprise integration, or platform engineering roles.</li><li>
Demonstrated ownership and administration of enterprise-scale data or integration platforms.</li><li>
Hands-on experience with Boomi AtomSphere, including process development, API management, connector configuration, data mapping, and platform administration.</li><li>
Hands-on experience with Databricks, Delta Lake, Unity Catalog, Delta Live Tables, Databricks SQL, and modern data platform architecture.</li><li>
Strong SQL development and query optimization skills.</li><li>
Experience with Python and/or PySpark for data engineering and transformation workloads.</li><li>
Strong understanding of REST, SOAP, JSON, XML, CSV, and EDI integration standards.</li><li>
Experience with enterprise integration patterns including API-first, event-driven, request/reply, and batch processing.</li><li>
Knowledge of data architecture principles including Medallion Architecture, dimensional modeling, and star schema design.</li><li>
Experience working within AWS cloud environments, including S3, IAM, and networking fundamentals.</li><li>
Familiarity with Azure cloud services and enterprise architecture practices.</li><li>
Experience integrating ERP, CRM, and project management platforms such as JD Edwards, EcoSys, Salesforce, Dynamics 365, or similar systems.</li><li>
Strong communication skills with the ability to effectively engage both technical and non-technical stakeholders.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>
Boomi Professional Developer and/or Boomi Architect Certification.</li><li>
Databricks Certified Data Engineer (Associate or Professional).</li><li>
Experience with MuleSoft, Informatica, Azure Data Factory, or other enterprise integration platforms.</li><li>
Experience managing API gateways and developer portals.</li><li>
Knowledge of data product concepts including data contracts, discoverability, and event-driven data sharing.</li><li>
Experience supporting post-acquisition integrations, multi-subsidiary organizations, or greenfield platform implementations.</li><li>
Familiarity with OAuth 2.0, SAML, mTLS, and enterprise identity and access management practices.</li></ul><div><b>
Travel Requirements</b></div><ul><li>
Travel required: Up to 10%.</li><li>
Employee may be required to visit job sites, field offices, customer locations, and corporate offices as business needs dictate.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>What You'll Get
</b></h2><div><div><div><ul><li>Competitive Compensation
</li><li>Weekly Pay
</li><li>401(k) Retirement Plan
</li><li>Holiday Pay
</li><li>Paid Time Off (PTO)
</li><li>Comprehensive Health Coverage
</li><li>Pet Insurance
</li><li>Employee Assistance Program (EAP)
</li><li>Professional Development Opportunities
</li><li>Tuition Assistance
</li><li>Employee Discount Program</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Equal Opportunity Employer
</b></h2><div><div><div><div>All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.<br>
<br>
We are an Equal Opportunity Employer, including disability and protected veteran status.
<br>
<br>
We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company&rsquo;s Human Resources department.</div></div></div></div></div>

Data & Integration Platform Engineer (Databricks & Boomi)

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