Source Job

• Define and enable data architecture and engineering standards across Product Lines.
• Lead data-focused architecture reviews and technical governance for new products.
• Partner with Product, Engineering, Infrastructure, and Security to design data platforms.

Restaurant365 is a SaaS company disrupting the restaurant industry with its cloud-based platform that provides a unique, centralized solution for accounting and back-office operations. Their culture empowers team members to produce top-notch results while elevating their skills.

• Lead the conceptual shift from general "data quality" to Data Reliability across the entire organization.
• Design, prototype, and champion a single, centralized "Data Reliability Source of Truth" platform to measure and display reliability KPIs.
• Create the technical framework and reference architecture necessary to automate the creation, deployment, and monitoring of Data Reliability checks.

Komodo Health's mission is to reduce the global burden of disease through smarter use of data and its Healthcare Map, the industry’s largest view of the U.S. healthcare system.

• Design, develop, and maintain reliable, scalable ETL/ELT pipelines across ingestion, transformation, storage, and consumption layers.
• Build and manage data models and transformations using dbt with strong testing and documentation practices.
• Contribute to architectural decisions, technology selection, and data engineering standards.

Vitable is a health benefits platform making healthcare better for employers of everyday workers.

• Define the modern cloud-based data architecture, owning key architectural decisions.
• Architect and operationalize Medallion data models ensuring governance and reusability.
• Design, develop, and deploy modern data warehouse and Lakehouse solutions.

Kinaxis is a tech company that provides supply chain management solutions. They have grown to a global organization with over 2000 employees and are recognized as one of Canada’s Top Employers, fostering a culture of innovation and collaboration.

Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.

This position is posted by Jobgether on behalf of a partner company.

Strengthen the real estate MLS data platform squad. Build robust data pipelines and backend services. Own the end-to-end architecture for MLS and property data.

Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages.

• Architect and evolve our data platform using Snowflake and dbt.
• Design and implement batch and streaming pipelines in AWS.
• Define and enforce data governance, security, and privacy policies.

BlueMatrix and Street Context develop web applications for the authoring, distribution, and analysis of investment research, and for internal knowledge management and digital communications. The BlueMatrix and Street Context teams are made up of ambitious and passionate people who have turned technology development and client service into an art.

• Design, develop, and maintain reliable end-to-end data pipelines that connect internal and external systems.
• Contribute to the performance, scalability, and reliability of our entire data ecosystem.
• Work with analysts to engineer data structures and orchestrate workflows that encode core business logic.

Roo is on a mission to empower animal healthcare professionals with opportunities to earn more and achieve greater flexibility in their careers and personal lives. Powered by groundbreaking technology, Roo has built the industry-leading veterinary staffing platform, connecting Veterinarians, Technicians, and Assistants with animal hospitals for relief work and hiring opportunities.

• Collaborate with engineering, data science, ML, data engineering, and product analytics teams to understand and shape the future needs of our data platform and infrastructure.
• Define, drive, and implement the future live ingestion layer of data into our data platform (e.g. Kafka, Kinesis).
• Define and evolve standards for storage, compute, data management, provenance, and orchestration.

Inspiren offers the most complete and connected ecosystem in senior living.

• Design modern, enterprise-scale data architectures using dbt Cloud
• Partner with Sales to demonstrate the technical value of dbt Labs solutions
• Lead proof-of-concept engagements and technical evaluations for prospective customers

dbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. They've grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week, with more than 5,400 dbt Cloud customers.

• Own Mixbook’s data platform end-to-end, including ingestion, orchestration, transformation, and the Redshift data warehouse
• Stabilize and harden fragile pipelines, reducing data incidents and reactive firefighting
• Define and enforce best practices for dbt modeling, data quality, and metric consistency

Mixbook is the #1 rated photo book service in the US. They are known for their intuitive design platform, exceptional quality, and fanatical customer service, empowering over 6 million people to design and share their one-of-a-kind stories.

• Design, build, and optimize robust and scalable data pipelines into our production BigQuery data warehouse.
• Mentor other engineers, lead complex projects, and set high standards for data quality and engineering excellence.
• Empower our BI tools, reporting, Marketing, and Data Science initiatives by ensuring a highly reliable and performant data ecosystem.

Peerspace is the leading online marketplace for venue rentals for meetings, productions, and events, opening doors to inspiring spaces worldwide. They have facilitated over $500M in transactions and are backed by investors like GV (Google Ventures) and Foundation Capital.

• Design and own scalable, secure data architectures and pipelines across our platforms.
• Collaborate closely with data engineers, analysts, MLOps Lead, AI and Data Architects, and business stakeholders, to align architecture with business needs.
• Define and maintain data models, governance frameworks, reference architectures, guidelines, best practices and operating principles for our data and analytics platforms.

Redcare Pharmacy is Europe’s No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. They strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to their vision “Until every human has their health”.

• Lead product requirements and advanced analytics requirements gathering efforts.
• Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs.
• Build a scalable technology platform to support a growing business and deliver high-quality code to production.

Achieve is a leading digital personal finance company that helps everyday people move from struggling to thriving by providing innovative, personalized financial solutions. They have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas and a culture of putting people first.

Design, build, and maintain a robust, self-service, scalable, and secure data platform. Create and edit data pipelines, considering business logic, levels of aggregation, and data quality. Enable teams to access and use data effectively through self-service tools and well-modeled datasets.

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America, with a diversified portfolio of brands and solutions across different countries.

Responsible for designing, creating, and managing our organization’s data architecture. Involves developing data models, defining data standards, and establishing best practices for data storage, integration, and retrieval. Ensure that our data systems are scalable, secure, and aligned with business requirements and industry best practices.

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions.

The Platform Architect is a strategic technical leader responsible for helping our customers architect, mature, and governing scalable, secure, high-performing solutions. You will have the opportunity to shape the transformation for leading global financial institutions and work with the latest in AI advancements. Platform Architects ensure customers use leading practices around instance strategy, technical governance, core data, integrations and the technical health of the platform.

ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®.

• Design and implement end-to-end data integrations into analytical and operational data stores.
• Evaluate and recommend tooling, frameworks, and platforms for ingestion, transformation, and orchestration.
• Implement monitoring, alerting, and observability including metrics, logging, lineage, and data-quality controls.

Blue Coding specializes in hiring excellent developers and amazing people from all over Latin America and other parts of the world.

• Design and deliver complex software solutions across hybrid environments.
• Manage data needs for the Pharmacy Application and drive related data science projects.
• Provide solutions for data requirements for a high-volume transaction processing platform, ML model development, and software application interfaces.

Cotiviti provides data-driven solutions that help healthcare organizations, retailers, and payers improve financial performance and operational efficiency.

• Own the Data Products: You aren't just moving data; you are building durable, high-performance data assets that the business relies on.
• Empower the Consumers: Your team is the force multiplier for Data Science and Analytics. You remove the friction of data cleaning and query optimization so they can focus on insights.
• Enforce Technical Rigor: You ensure that our data models are not just accurate, but performant, scalable, and built with software engineering best practices.

Dandy is transforming the massive and antiquated dental industry. They aim to simplify and modernize every function of the dental practice through technology.