The US remains the highest-paying market for tech globally. Major hubs include the San Francisco Bay Area, New York, Seattle, Austin, and Boston, plus fully remote-first companies headquartered across the country.
Key Responsibilities • Architect AI Ops Solutions: Design and implement AI-driven operational frameworks for predictive analytics, anomaly detection, and automated remediation. • Experience in Agentic AI implementation…
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Key Responsibilities • Architect AI Ops Solutions: Design and implement AI-driven operational frameworks for predictive analytics, anomaly detection, and automated remediation. • Experience in Agentic AI implementation and MCP, A2A.
[Applicants: Be among the first 25 applicants | Industry: Wholesale Building Materials | Type: Full-time | Level: Mid-Senior level] Job OverviewAs a Senior Data Platform Architect for Marvin’s enterprise Data Platform,…
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[Applicants: Be among the first 25 applicants | Industry: Wholesale Building Materials | Type: Full-time | Level: Mid-Senior level] Job OverviewAs a Senior Data Platform Architect for Marvin’s enterprise Data Platform, you will serve as a strategic
[Industry: IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] On-site Role in Phoenix, AZ – US Citizenship or Green Card RequiredIBS Software is a fast-growing global software company with 4,000…
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[Industry: IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] On-site Role in Phoenix, AZ – US Citizenship or Green Card RequiredIBS Software is a fast-growing global software company with 4,000 employees and a 27-year track
[Applicants: Be among the first 25 applicants | Industry: Information Technology & Services | Type: Full-time | Level: Mid-Senior level] The Principal/ Lead Data Architect plays a critical role in defining and enabling…
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[Applicants: Be among the first 25 applicants | Industry: Information Technology & Services | Type: Full-time | Level: Mid-Senior level] The Principal/ Lead Data Architect plays a critical role in defining and enabling the enterprise data foundation
Deep understanding of data architecture principles, including ingestion, transformation, storage, and access control. Hands-on experience implementing data lineage, quality, and monitoring frameworks.
Architect and optimize data transformation, data integration, and ETL/ELT pipelines using Informatica or Talend. Required Qualifications: 10+ years of enterprise-level experience in data architecture, data modeling,…
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Architect and optimize data transformation, data integration, and ETL/ELT pipelines using Informatica or Talend. Required Qualifications: 10+ years of enterprise-level experience in data architecture, data modeling, data transformation, data storage, data archival, and performance engineering.
Data Architect with Snowflake Location - Los Angeles, CA (Onsite) Key Skills Data Architecture and Modelling Snowflake & DBT Kafka Airflow Data & Insights Platform Architecture AWS Cloud Familiarity Nice to have skills…
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Data Architect with Snowflake Location - Los Angeles, CA (Onsite) Key Skills Data Architecture and Modelling Snowflake & DBT Kafka Airflow Data & Insights Platform Architecture AWS Cloud Familiarity Nice to have skills Stardust, Debezium, Estuary -- Warm Regards! Dheeraj Patel US IT Recruiter ID: - https://www..com/in/dheeraj-patel-8b451825b/ Email: dheeraj.patel@quantumworldit.com “Together we can build a Better Tomorrow” Show less
Quick Interview Data Architect C2C Los Angeles, CA( onsite ) Data Architect Location - Los Angeles, CA( onsite ) C2C Key Skills Data Architecture and Modelling Snowflake & DBT Kafka Airflow Data & Insights…
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Quick Interview Data Architect C2C Los Angeles, CA( onsite ) Data Architect Location - Los Angeles, CA( onsite ) C2C Key Skills Data Architecture and Modelling Snowflake & DBT Kafka Airflow Data & Insights Platform Architecture AWS Cloud Familiarity Nice to have skills Stardust, Debezium, Estuary Harsh Jain Sr.Technical Recruiter harsh.jain@quantumworldit.com .com/in/harsh-jain-a7b541b0 18059094497 Show less
**This role will be hybrid in New York** I am partnered with a global, data-driven organization to hire an experienced Data Architect to lead the design and delivery of scalable, secure, and high-performance data…
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**This role will be hybrid in New York** I am partnered with a global, data-driven organization to hire an experienced Data Architect to lead the design and delivery of scalable, secure, and high-performance data solutions. Responsibilities Own and drive the data architecture models Design reusable architecture patterns such as CDC ingestion, SCD handling, lakehouse/warehouse layers, and medallion architectures Architect and optimize scalable ETL/ELT and ingestion frameworks for end-to-end data integration and transformation Build and enhance data warehouse and datamart architectures for analytics and reporting, with a strong focus on performance tuning (partitioning, clustering, indexing, query optimization) Ensure strong data governance including data quality, lineage, metadata management, and secure access controls (RBAC, encryption, data masking) Lead architecture reviews, drive technical decisions, and create/maintain documentation (architecture diagrams, ERDs, data flows, integration specifications) Collaborate closely with business stakeholders, data engineering, cloud, and BI teams to translate requirements into robust, scalable solutions Act as a client-facing architectural leader, owning delivery and outcomes across complex, enterprise-scale initiatives Qualifications 8+ years of experience in data architecture and/or data engineering with strong architecture ownership Deep expertise in data modeling (3NF, Star Schema, Snowflake Schema, Dimensional Modeling) Advanced SQL skills and strong database design fundamentals Proven experience with data warehousing concepts and best practices Hands-on experience with at least one modern cloud data platform: Snowflake, Databricks, BigQuery, or Redshift Experience with ETL/ELT tools and orchestration frameworks Exposure to data governance tools (e.g., Collibra, Alation, Purview) is a plus Experience with API-based ingestion or streaming technologies (Kafka, Pub/Sub) is a plus Show less
Expertise in data modeling, data integration, and advanced analytics architectures. Hands-on experience implementing solutions using enterprise data storage (warehouses/lakes), data pipelines, and AI/ML integrations.
This role focuses on building robust data architectures while leading hands-on Data Governance initiatives to ensure data quality, consistency, and business alignment. Key Responsibilities Data Architecture & Design…
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This role focuses on building robust data architectures while leading hands-on Data Governance initiatives to ensure data quality, consistency, and business alignment. Key Responsibilities Data Architecture & Design Design and implement scalable, secure data architectures supporting supply chain operations and analytics Develop and maintain conceptual, logical, and physical data models Ensure efficient schema design, performance optimization, and system integration Partner with business and technical teams to gather requirements and deliver data solutions Data Governance & Quality Lead the implementation of data governance standards, policies, and best practices Establish data quality frameworks, validation rules, and monitoring mechanisms Ensure data lineage, integrity, and compliance across data platforms Implement audit and issue management processes for data quality Manage centralized data assets including KPIs, metrics, definitions, and dashboards Define and track asset quality scoring and governance metrics Collaboration & Leadership Act as a key data advisor to business, analytics, and engineering teams Provide architectural guidance and promote enterprise data best practices Required Qualifications 10+ years of experience in Data Architecture, Data Modeling, and Data Governance Strong domain experience in Supply Chain, Manufacturing, or Logistics Proven, hands-on experience implementing Data Governance frameworks Strong proficiency in SQL and Python Experience building and managing ETL/ELT pipelines Experience with data warehouses, data lakes, and enterprise databases Solid understanding of data security, privacy, and compliance standards Strong communication and stakeholder management skills Preferred Qualifications Certifications in Data Architecture or Analytics Experience working in Agile environments Familiarity with DevOps and version control tools Exposure to advanced analytics, ML, or AI concepts Work Location Bay Area candidates with the ability to work onsite three days per week are preferred Lenora Systems is an Equal Employment Opportunity employer.
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Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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