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.
Methods of enterprise architecture include IT business systems development and technical solutions that align with the business process. Minimum Qualifications: Minimum of 9 years of experience in applying…
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Methods of enterprise architecture include IT business systems development and technical solutions that align with the business process. Minimum Qualifications: Minimum of 9 years of experience in applying enterprise-level architecture principles in solution engineering around applications, infrastructure, and cloud systems.
Enterprise Data Architect Location: New York City (Hybrid - 3 days onsite) Secondary: Chicago (Hybrid) Salary: Up to $200,000 + bonus Sponsorship: Not available Harnham is exclusively supporting a world-class global…
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Enterprise Data Architect Location: New York City (Hybrid - 3 days onsite) Secondary: Chicago (Hybrid) Salary: Up to $200,000 + bonus Sponsorship: Not available Harnham is exclusively supporting a world-class global organisation in the search for an Enterprise Data Architect to design and deliver its next-generation data platform. What You'll Be Doing Architecting and building Databricks infrastructure on AWS Designing enterprise lakehouse architecture (Databricks + Snowflake) Defining how data moves across systems and platforms Establishing architectural standards, governance, and cost optimisation Partnering with senior stakeholders across technology and the business Laying the foundation for analytics, AI, and ML at enterprise scale What We're Looking For 10+ years' experience in data architecture or enterprise data roles Deep hands-on experience with Databricks (essential) Strong background in AWS and Snowflake Proven experience building platforms from scratch Comfortable operating independently in lean teams Strong business and stakeholder communication skills Why Apply?
Lead Data Engineer / Data Architect New York City, NY; (Onsite – 5 days/week) Tech skill set: Data Architecture, Data Modelling, Expert level SQL, Python, AWS Technologies (Glue), Snowflake and data engineering design…
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Lead Data Engineer / Data Architect New York City, NY; (Onsite – 5 days/week) Tech skill set: Data Architecture, Data Modelling, Expert level SQL, Python, AWS Technologies (Glue), Snowflake and data engineering design patterns Domain: Asset management, Alternatives Investments, Financial Services. 8+ years of experience in data engineering with a strong focus on Data Architecture, Data Modelling (Conceptual, Logical, Physical), ELT processes and data pipeline development.
Troubleshoot and resolve issues related to data models, data pipelines, and reporting. Experience with data governance, compliance, and best practices.
Deep hands-on experience in cloud architecture domains including cloud computing, distributed systems, and enterprise IT strategy. Google Professional Cloud Architect certification is required.
Primary Responsibilities: Architect and implement data virtualization solutions using Denodo. Design and optimize MPP-based data platforms (Snowflake, Redshift, Synapse, BigQuery).
The opening requires Data Architect to the above skills. Define enterprise data architecture standards and modeling best practices aligned with Azure/Snowflake services (ADLS, Azure SQL, Snowflake etc.) Experience in…
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The opening requires Data Architect to the above skills. Define enterprise data architecture standards and modeling best practices aligned with Azure/Snowflake services (ADLS, Azure SQL, Snowflake etc.) Experience in mapping data elements from source systems to target systems; experience in FIS Horizon or IBIS is preferable Partner with business, data engineering, and platform teams to enable financial reporting solutions Proficient in overall Data architecture and design of data components; support Data engineers in the overall development lifecycle Support Azure-based data platforms and data products, optimizing models for performance, cost, and future extensibility Hands on experience in SQL and excel, with strong skills in reverse engineering and developing clear and well-structured documents and presentations.
Job Details: Must Have Skills Data Architecture Data Model Informatica Nice to have skills Snowflake Detailed Job Description 10 years of enterprise level data architecture experience, data modeling, data…
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Job Details: Must Have Skills Data Architecture Data Model Informatica Nice to have skills Snowflake Detailed Job Description 10 years of enterprise level data architecture experience, data modeling, data transformation, data storage, data archival and performance engineering with advanced knowledge in Informatica Talend, PostgreSQL Oracle Snowflake, Power BI, Advanced SQL and Unix Shell Scripting. Minimum years of experience>10 years Show less
We’re looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for aviation safety. As an Aviation Data Architect on our aviation team, you’ll use your extensive…
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We’re looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for aviation safety. As an Aviation Data Architect on our aviation team, you’ll use your extensive technical expertise to lead the design of data architecture solutions for an aviation intelligence platform.
🎯 Position Overview We are seeking a Junior Data Analyst with 0–2 years of experience to support data analysis, reporting, and dashboard development for enterprise clients. 🛠️ Key Responsibilities Assist in analyzing…
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🎯 Position Overview We are seeking a Junior Data Analyst with 0–2 years of experience to support data analysis, reporting, and dashboard development for enterprise clients. 🛠️ Key Responsibilities Assist in analyzing datasets to identify trends and insights Support the creation of dashboards and reports using Power BI, Tableau, or Excel Write basic SQL queries for data extraction and validation Clean, organize, and prepare datasets for analysis Document findings and prepare simple data summaries for business teams Collaborate with senior analysts on KPIs, metrics, and data requirements Help with data quality checks and troubleshoot data discrepancies Maintain documentation for reports, dashboards, and data processes ✅ Required Skills & Experience 0–2 years of experience in Data Analysis or a related field Basic proficiency in SQL Hands-on experience with Excel (pivot tables, formulas, charts) Familiarity with any BI tool (Power BI, Tableau, or Looker) Understanding of data cleaning, validation, and analytical concepts Knowledge of Python (optional but preferred) for basic data manipulation Strong attention to detail and analytical thinking Good communication skills and willingness to learn ⭐ Nice to Have Exposure to data visualization tools or dashboard building Familiarity with data models or basic statistics Internship or academic projects related to data analysis Experience with Google Analytics, Power Query, or data cleansing tools Understanding of cloud platforms (AWS/GCP/Azure) at a basic level Show less
[Industry: Industrial Machinery Manufacturing | Type: Full-time | Level: Mid-Senior level] At Midrex, you will do work that matters alongside people who believe you matter. The work won’t be easy, but it will be worth…
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[Industry: Industrial Machinery Manufacturing | Type: Full-time | Level: Mid-Senior level] At Midrex, you will do work that matters alongside people who believe you matter. The work won’t be easy, but it will be worth it.
Salary tags blend employer provided ranges with Catalitium estimates. We mark ranges with Est. labels, note any missing data, and never inflate compensation to boost clicks.
Currency harmonized to USD/EUR/GBP/CHF to avoid surprises.
Outliers are reviewed manually before they appear on a card.
Sponsored employers follow the same disclosure and pay rules.
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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