Real people. Real service. At SupplyHouse.com, we value every individual team member and cultivate a community where people come first. Led by our core values of Generosity, Respect, Innovation, Teamwork, and GRIT, we’re dedicated to maintaining a supportive work environment that celebrates diversity and empowers everyone to reach their full potential. As an industry-leading e-commerce company specializing in HVAC, plumbing, heating, and electrical supplies since 2004, we strive to foster growth while providing the best possible experience for our customers. We are looking for a Sr. Data Architect to join our IT Team. This individual will report into our Vice President of IT, and will be responsible for defining and driving our enterprise data architecture strategy while remaining hands-on in delivering scalable, reliable data products. This role operates at a company-wide scope, shaping long-term data platform direction, governance standards, and scalable architecture patterns that enable analytics, AI/ML, operational systems, and business intelligence. As a strategic individual contributor, the Sr. Data Architect will partner with executive leadership, Engineering, Analytics, Security, and Product teams to ensure data is reliable, secure, governed, and positioned as a competitive advantage. This remote position is open to individuals who live in, or are open to relocating to, the following states: Arizona, Delaware, Florida, Georgia, Kentucky, Nevada, New Jersey, New York, North Carolina, Ohio, Rhode Island, South Carolina, Tennessee, Texas, Virginia, and Washington. This position requires travel to our headquarters in Melville, NY 3 times per year for internal meetings and team building activities. Additional travel may be required based on department and company needs. We reimburse reasonable and necessary travel expenses, and you’re also welcome to work on-site anytime beyond these visits – our doors are always open. Role Type: Full-Time, Exempt Location: Remote Schedule: Monday through Friday, 8:00 a.m. to 5:00 p.m. EST Base Salary: $145,000 – $180,000 per year Responsibilities: - Design, build, and maintain scalable ELT/ETL pipelines into BigQuery for core domains (orders, customers, products, inventory, fulfillment, procurement, marketing) - Build orchestration patterns with strong operational rigor (retries, idempotency, backfills, SLAs/SLOs, incident response) to enable reliable delivery - Implement data quality and testing frameworks (freshness checks, anomaly detection, unit/integration tests) and standardize monitoring/observability - Standardize CI/CD and infrastructure-as-code patterns for data systems and guide teams on best practices for ingestion, transformation, and orchestration - Lead modernization initiatives such as legacy warehouse to cloud lakehouse migrations and platform upgrades - Create and own curated, analytics-ready datasets and models (dimensional/conformed, semantic-ready layers) that make reporting fast, consistent, and self-serve - Establish and enforce standards for conceptual, logical, and physical data modeling - Oversee domain-driven modeling and data product design through reusable patterns and reference implementations - Establish data architecture standards including modeling conventions, schema evolution/versioning, incremental loading strategies, and warehouse performance patterns - Define and evolve the enterprise data architecture vision aligned to business strategy, including canonical data models, domain boundaries, and integration patterns - Lead architecture decisions for data warehousing, lakehouse, streaming, MDM, and operational data platforms - Evaluate and select strategic data technologies and vendors - Partner with Security and Legal to design privacy and compliance architectures (GDPR/CCPA/SOC2-aligned approaches) and establish enterprise governance frameworks - Build governance fundamentals including documentation, lineage/metadata, access controls, and PII handling - Act as the escalation point for data architecture decisions and mentor senior engineers/architects through reviews, templates, and best practices - Partner with application engineering and analytics stakeholders to define data contracts and ensure reliable upstream/downstream integrations - Translate business capabilities into scalable data platform solutions - Optimize cost and performance across BigQuery workloads (query optimization, partition pruning, clustering strategies, and workload management where applicable) - Drive adoption of emerging capabilities (real-time analytics, AI enablement, semantic layers, data mesh) and develop multi-year data roadmap and maturity models - Operate at enterprise scope across multiple business domains - Influence strategy beyond the immediate team and set technical direction that others follow Requirements: - Bachelor's degree in CS, Engineering, Information Systems, or a related field - ​A minimum of 10 years of experience in Data Engineering, Architecture, or Platform Engineering - A minimum of 5 years of experience designing enterprise-scale cloud data architectures (AWS, Azure, or GCP) - Expertise in data warehousing, Lakehouse architecture, distributed processing, streaming, and enterprise data modeling (Kimball, Inmon, Data Vault, and/or domain-driven design) - Strong understanding of data governance, metadata management, and security architecture - Experience leading cross-functional architecture initiatives - Proven ability to influence senior stakeholders and executives Preferred Qualifications: - A minimum of 7 years of experience in Data Engineering, Analytics Engineering, or Data Platform roles with significant production ownership - Deep experience with GCP services relevant to data engineering (e.g., Cloud Storage, Pub/Sub, Dataflow, Cloud Composer, Cloud Functions/Run, Secret Manager, IAM) - Experience with BigQuery best practices (partitioning/clustering, incremental strategies, performance tuning, cost controls) - Strong understanding of BI consumption needs (star schema design, incremental refresh considerations, semantic consistency/metrics definitions) - Experience implementing data mesh or domain-oriented ownership models, AI/ML feature platform exposure, regulated environment experience, and strong cloud cost management acumen - Industry certifications (AWS Solutions Architect, Azure Architect, GCP Professional Architect) Why work with us: - We have awesome benefits – We offer a wide variety of benefits to help support you and your loved ones. These include: - Comprehensive and affordable medical, dental, vision, and voluntary life insurance options - 401(k) with up to 4% company match - Paid vacation, sick time, and holidays - Company-paid basic life insurance and long-term disability - Discounted auto, home, and pet insurance programs - Flexible Spending Account (FSA) - Confidential mental health, financial planning, and legal support through our Employee Assistance Program (EAP) - Company-provided equipment and one-time $250 work from home stipend - $750 annual professional development budget - $25 monthly Grubhub credit - Company rewards and recognition program - And more! - We empower ownership – We all contribute to our success and we all share in it. Our Ownership for All program ensures each SupplyHouse team member will benefit financially from the company’s growth and accomplishments. - We promote work-life balance – We value your time and encourage a healthy separation between your professional and personal life to feel refreshed and recharged. Look out for our wellness initiatives and ask about our Flex-Time Policy! - We support growth – We encourage you to embrace continuous learning and take on new challenges. In an exciting and evolving industry, we provide opportunities for career growth through our annual merit and bonus opportunities, hands-on training, diversity and inclusion initiatives, internal mobility options, and professional development budget. - We give back – We live and breathe our core value, Generosity, by giving back to the trades and organizations around the world. We make a difference through donation drives, employee-nominated contributions, support for non-profit organizations, Volunteer Paid Time Off, and more. - We listen – We value hearing from our employees. Everyone has a voice, and we encourage you to use it! We actively elicit feedback through our monthly town halls, regular 1:1 check-ins, employee listening initiatives, and company-wide ideas form to incorporate suggestions and ensure our team enjoys coming to work every day. Check us out and learn more at: https://www.supplyhouse.com/our-company! Additional Details: - Remote employees are expected to work in a distraction-free environment. Personal devices, background noise, and other distractions should be kept to a minimum to avoid disrupting virtual meetings or business operations. - Applicants must be currently authorized to work in the U.S. on a full-time basis. SupplyHouse.com will not sponsor applicants for work visas. - SupplyHouse.com is an Equal Opportunity Employer. We welcome and encourage individuals of all backgrounds, experiences, and perspectives to apply. Employment decisions are based on qualifications, merit, and business needs. - To ensure fairness and trust in our hiring process, we ask that all application materials, assessments, and interview responses reflect your own thinking and perspective. You may use AI tools to assist in preparing your responses, as long as this use is clearly disclosed and you can speak authentically to your ideas and work. Our focus is on honesty, judgment, and how you approach problem-solving. We appreciate your transparency and look forward to learning more about your skills. - We are committed to providing a safe and secure work environment and conduct thorough background checks on all potential employees in accordance with applicable laws and regulations. - All emails from the SupplyHouse team will only be sent from an @supplyhouse.com email address. Please exercise caution if you receive an email from an alternate domain.

Role Description For our client, a leading Swiss insurance company, we are looking for an experienced DWH Architect / Senior Data Engineer. If you are ready to tackle complex challenges and actively shape modern data platforms, we look forward to hearing from you. - Design and implement modern data warehouse architectures - Lead data migration and modernization of existing DWH systems - Analysis and translation of business and technical requirements into scalable, architecture-compliant solutions - Collaborate closely with internal stakeholders and cross-functional teams - Ensure data governance, security, and compliance with Swiss regulatory requirements - Continuously develop and optimize data platforms and reporting solutions - Development and enforcement of naming conventions, self-service approaches and boundaries, tool recommendations, and guidelines Qualifications - Experienced DWH Architect with strong expertise in modern data architectures (Medallion Architecture, Star Schema, Gold Layer) - Hands-on experience with Databricks (PySpark, Delta Lake, Unity Catalog), Azure Data Platform, and Power BI - Knowledge of traditional DWH environments - Proven experience in data warehouse migration and modernization projects - Strong knowledge of Databricks, Azure, and Power BI, with an understanding of legacy DWH architectures - Ability to understand both technical and business requirements and translate them into DARTS-compliant solutions - Fluent English required; German is a plus - Experience working in international, remote-enabled project teams Requirements - Start: Immediately available or by arrangement (long-term project) - Workload: Fulltime 100% - Location: Remote (Nearshore)

Role Description As a Data Engineer at Just Eat Takeaway.com, you will be instrumental in advancing our data-driven initiatives for the Logistics organisation. In this role, you'll focus on building out Data & Analytics solutions alongside Data Scientists, Business Analysts and other Data Engineers, ensuring efficient data management and contributing significantly to our e-commerce success. You will play a key role in enhancing our data analytics infrastructure, directly impacting decision-making and customer satisfaction. Location: Canada - Remote Reporting to: Manager Data Engineering-Logistics - Leading, driving and supporting the delivery of global logistics tech infrastructure initiatives with data engineering, in close cooperation with Product, Operations, and other departments within JET - Establishing cross functional collaboration between different teams - Making sure Logistics Engineering and other global teams understand local business needs, the required improvements, and the priorities for the systems for which you function as a subject matter expert - Providing in-depth analysis of our network of logistic systems to equip our stakeholders with the right insights in their decision making process - Organisational learning on Logistics innovation, in and outside your subject matter expertise, to help form a holistic vision on how Logistics can contribute to JET’s mission - Supporting Operations, Product and other global teams on projects, questions and improvements in relevant tech domains Qualifications - Prior experience in a Data Engineering position - Advanced skills in SQL and experience with relational databases; desired proficiency in data transformation tools like dbt - Familiarity with Python or similar programming languages - Experience with cloud platforms (preferably GCP) - Excellent interpersonal and communication skills, capable of working effectively in a dynamic team environment and interacting with various stakeholders Benefits - Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. - Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition. - Inclusion, Diversity & Belonging: No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. Compensation Compensation range: $78,016.00 – $106,00.00. Final compensation may vary based on skills, experience, and internal equity.

Role Description - Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making. - Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. - Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way. - Define and manage SLA for all data sets in allocated areas of ownership. - Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve. - Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership. - Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources. - Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. - Influence product and cross-functional teams to identify data opportunities to drive impact. - Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. - Demonstrate good judgment in selecting methods and techniques for obtaining solutions. - Telecommuting from anywhere in the U.S. allowed. Qualifications - Master’s degree (or foreign degree equivalent) in Computer Science, Engineering, Software Engineering, Mathematics, Physics, or related field. - Three years of work experience in job offered or in a computer-related occupation. Requirements - Requires three years of experience in the following: - Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale. - Writing SQL statements. - Analyzing large volumes of data to identify deliverables or to provide data driven insights, gaps, and inconsistencies. - Data warehousing architecture and plans. - Informatica, Talend, Pentaho, dimensional data modeling, or schema design. Benefits - $214,228/year to $240,460/year + bonus + equity + benefits.