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Entry Level Chief Technology Architect Jobs (NOW HIRING)

Data Visualization Architect

Centennial, CO · On-site

$65.50 - $84.25/hr

Data Visualization Architect Location: Centennial, CO Type: Direct Hire Client located in ... into a CTO role. Desired Skills: 1) Computer science, mathematics or engineering degree. 2) ...

Solution Architect

New York, NY · On-site

$69 - $90.75/hr

... on CTO Office infrastructure, network and service standards Work with vendors, internal and ... Maintain Application portfolio detail per APM standards Understand application architecture, and ...

$171.27 - $239.78/hr

Zusammenfassung Der Account Chief Technology Officer (ACTO) ist der führende technologische ... Bewertung der bestehenden Kunden-Architektur als vertrauenswürdiger leitender Technologieberater ...

Experience in working in ODC model and capable of presenting the Design and Architecture to CTO's, CEO's at onsite Should have experience/ knowledge on working with batch processing/ Real time ...

Architect and develop the initial MVP for our matchmaking platform * Help define a product roadmap and weigh in on feature discussions * Collaborate with design team to prioritize features, give ...

Architect and develop the initial MVP for our matchmaking platform * Help define a product roadmap and weigh in on feature discussions * Collaborate with design team to prioritize features, give ...

Run working sessions with everyone from the customer's frontline operators to their CISO and CTO. Translate their vision into an architecture, and translate our platform into their language. Drive ...

AI Solutions Architect

San Francisco, CA · On-site

$80K - $120K/yr

Run working sessions with everyone from the customer's frontline operators to their CISO and CTO. Translate their vision into an architecture, and translate our platform into their language. * Drive ...

Big Data Architect Developer

Phoenix, AZ · On-site

$63.25 - $81.50/hr

Experience in working in ODC model and capable of presenting the Design and Architecture to CTO's, CEO's at onsite Should have experience/ knowledge on working with batch processing/ Real time ...

You will work closely with the CEO and CTO and have ownership to architect and build core parts of the platform. As part of the founding engineering team you will have a significant impact on our ...

You will work closely with the CEO and CTO and have ownership to architect and build core parts of the platform. As part of the founding engineering team you will have a significant impact on our ...

Showing results 21-40

Entry Level Chief Technology Architect information

See salary details

$104.5K

$177.6K

$253K

How much do entry level chief technology architect jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level chief technology architect in the United States is $177,571.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,000.00 and $195,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Chief Technology Architect jobs? The most popular types of Chief Technology Architect jobs are:
Infographic showing various Entry Level Chief Technology Architect job openings in the United States as of July 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $177,571 per year, or $85.4 per hour.

CTO - Economic Risk Management (ERM)

risk

San Francisco, CA • On-site

Full-time

Re-posted 4 days ago


Job description

CTO - Economic Risk Management (ERM) San Francisco, CA - Full Time Equity - join the founding team 3 to 4 years experience preferred Computer Science / Physics / Applied Math / Financial Engineering - background in machine learning algorithms, distributed computing, and data mining preferred DESCRIPTION: CTO - Algorithms, Data Structures, Hadoop, Java, Python, R, BASH programs Skills Required - Data mining of large data sets (Big Data!), Hadoop, Java / Python / C++, Linux, Statistics and Probability Theory We're a San Francisco based startup that specializes in developing supply chain risk management software for the manufacturing, construction, and transportation industries. Our founders studied at Berkeley and Stanford, and have worked at some of the leading companies in software, finance, and manufacturing, including IBM, Axioma, FTSE, Alphacet, MSCI, and Toyota. Our advisers include David Leinweber of LBNL, and our research includes several published papers, a working prototype, and a large database of financial and economic time series.

We have two development clients - a large manufacturing company and an even larger supply chain certification firm. Going forward, we're looking for a brilliant systems architect to build out the platform. The ideal candidate will be a Computer Scientist who can write software to analyze terabytes of data and billions of rows to discover correlations and patterns in economic data, and to come up with algorithms and strategies for reducing customers' risk exposure.

Typical candidates for this role have not only developed data mining algorithms but also built large scale systems incorporating them. RESPONSIBILITIES: ~Research, investigate, pick industrial data mining/machine learning algorithms. ~Implement these algorithms using grid computing & affect the product direction.

~Develop and support the data store and cloud compute cluster EXPERIENCE: 1.) Experience in data mining and machine learning on large amounts of sparse data. Must have a good understanding of algorithms, data structures, performance optimization techniques, and object-oriented programming. Large scale data manipulation

2.) BS/MS in Computer Science / Physics / Applied Math / Financial Engineering (with emphasis in data mining/machine learning/artificial intelligence/mathematics/OR). 3.) Experience developing software using Java / Python / C++ / R on Linux. Experience with Hadoop or MapReduce is a huge plus

4.) Should have a strong background in Linear algebra/Matrix operations. Other strong pluses and areas of interest include: ~Machine learning algorithms (neural networks, support vector machines, bayes, genetic algorithms) ~Grid Computing/Parallel Computing/Distributed Computing ~Time series analysis (GARCH, ARMA, etc.) ~Statistical analysis (regression, correlation) ~Experience with Monte Carlo simulation