Join the many companies that staff their roles with our data architects
Our data architects are ready to be hired
Priya R.
- Seattle, WA
- 3 years of experience
Designed and implemented a data warehouse solution that reduced query times by 75% and improved data accessibility for 500+ users.
Optimized ETL processes, resulting in a 40% reduction in data processing time and a 30% decrease in storage costs.
Expert in cloud-based data architecture, with proficiency in AWS, Azure, and Google Cloud Platform services.
Recent Project
Priya led the migration of a legacy on-premises data warehouse to a cloud-based solution for a Fortune 500 retail company. She designed a scalable architecture using AWS services, including Redshift and S3, to handle petabytes of transaction data. The new system improved data accessibility and analysis capabilities, enabling real-time inventory management and personalized customer recommendations.
Marcus L.
- Austin, TX
- 9 years of experience
Developed a master data management strategy that increased data accuracy by 95% and reduced duplicate records by 80%.
Implemented a data governance framework that ensured 99.9% compliance with data privacy regulations across 3 international markets.
Skilled in designing and implementing both SQL and NoSQL database solutions for various business needs.
Recent Project
Marcus architected a real-time data pipeline for a major telecommunications provider to process and analyze network performance data. He utilized Apache Kafka for stream processing and designed a Lambda architecture to handle both batch and real-time data processing. The project resulted in a 60% improvement in network issue detection and resolution times.
Sophia K.
- Boston, MA
- 3 years of experience
Created a data lake architecture that consolidated data from 15 disparate sources, reducing data silos by 90% and enabling cross-functional analytics.
Implemented a metadata management system that increased data discoverability by 200% and reduced time spent on data preparation by 50%.
Experienced in designing and implementing machine learning pipelines to support advanced analytics and AI initiatives.
Recent Project
Sophia designed and implemented a comprehensive data architecture for a healthcare startup focused on predictive analytics. She created a HIPAA-compliant data platform using Azure services, incorporating both structured and unstructured medical data. The architecture supported the development of machine learning models that improved early disease detection rates by 35%.
Jamal T.
- Chicago, IL
- 8 years of experience
Architected a real-time data streaming solution that processed over 1 million events per second, improving operational decision-making speed by 70%.
Designed a data quality framework that reduced data errors by 85% and increased stakeholder trust in data-driven decisions by 95%.
Proficient in designing scalable, fault-tolerant distributed systems using technologies such as Hadoop, Spark, and Cassandra.
Recent Project
Jamal led the development of a data architecture to support a smart city initiative for a major metropolitan area. He designed a system to integrate data from IoT sensors, public transportation, and city services using a combination of stream processing and batch analytics. The resulting platform enabled real-time traffic management and predictive maintenance of city infrastructure.
Elena B.
- New York, NY
- 10 years of experience
Developed a data mesh architecture that reduced time-to-insight by 60% and improved cross-domain data utilization by 150%.
Implemented a self-service analytics platform that increased user adoption by 300% and reduced IT support tickets related to data access by 70%.
Adept at translating complex business requirements into efficient and scalable data architecture solutions.
Recent Project
Elena architected a next-generation data platform for a global financial services firm. She designed a multi-cloud solution that leveraged data virtualization to provide a unified view of customer data across various product lines and geographical regions. The new architecture enabled real-time risk assessment and personalized financial product recommendations, leading to a 25% increase in cross-selling success rates.
Nexus IT Group will quickly staff your technical roles
81%
of our successful candidates are submitted within one week
92%
of our candidates will accept your offer
96%
of our candidates are employed with your firm after 12 months
What our clients have said about working with Nexus IT Group
Our client creates balance between existing investments and cloud-driven innovation with a practical approach that prioritizes results. This particular client tasked our cloud recruiters with a challenging project. Being named Google Cloud Partner of the Year, this recognition required them to increase their Google Cloud Architect and Engineering resources. Google Cloud talent is quite a bit more scarce than AWS and demand more salary, so our cloud recruiters had to get creative with our sourcing strategy. Reach out to learn how we filled 13 Google Cloud professionals for this client.
A 3 year old startup who is transforming insurance buying by providing a digital insurance engine and world-class underwriting capabilities tasked Nexus IT group to identify, vet, and hire a Head of Data Engineering for the data engineering group. Our data scientist recruiters quickly got on this executive level search. Diversity sourcing and hiring was very important for this client so the team focused on diversity sourcing. We ended up sourcing 176 candidates, submitted six candidates and the client ended up hiring one candidate.
Our client creates balance between existing investments and cloud-driven innovation with a practical approach that prioritizes results. This particular client tasked our cloud recruiters with a challenging project. Being named Google Cloud Partner of the Year, this recognition required them to increase their Google Cloud Architect and Engineering resources. Google Cloud talent is quite a bit more scarce than AWS and demand more salary, so our cloud recruiters had to get creative with our sourcing strategy. Reach out to learn how we filled 13 Google Cloud professionals for this client.
Our client creates balance between existing investments and cloud-driven innovation with a practical approach that prioritizes results. This particular client tasked our cloud recruiters with a challenging project. Being named Google Cloud Partner of the Year, this recognition required them to increase their Google Cloud Architect and Engineering resources. Google Cloud talent is quite a bit more scarce than AWS and demand more salary, so our cloud recruiters had to get creative with our sourcing strategy. Reach out to learn how we filled 13 Google Cloud professionals for this client.
Frequently asked questions about hiring your next data architect
A Data Architect designs and oversees an organization’s data management systems. They create the blueprints for data management and integration across platforms, ensuring that data is accessible, secure, and structured to support business operations and analytics.
Look for candidates with a degree in Computer Science, Information Systems, or a related field. They should have extensive experience with database design, data modeling, and data integration. Certifications like AWS Certified Data Analytics or Google Cloud Professional Data Engineer can be valuable.
While there’s some overlap, a Data Architect focuses on the overall data strategy and architecture across the entire organization. A Database Administrator typically manages and maintains specific database systems. The architect designs the blueprint, while the administrator implements and maintains it.
Key technical skills include proficiency in SQL and NoSQL databases, data modeling tools, ETL tools, big data technologies (like Hadoop and Spark), cloud platforms (AWS, Azure, GCP), and data visualization tools. They should also understand data governance and security principles.
Cloud experience is increasingly crucial as many organizations move their data infrastructure to the cloud. A Data Architect should be familiar with major cloud platforms and understand how to design scalable, cost-effective cloud-based data solutions.
Yes, experience with big data technologies is valuable. As data volumes grow, many organizations are adopting big data solutions. A Data Architect should understand technologies like Hadoop, Spark, and NoSQL databases to design systems that can handle large-scale data processing.
Present them with real-world scenarios your organization has faced or might face. Ask them to outline how they would approach designing a solution. Look for their ability to consider various factors like scalability, security, and business requirements in their approach.
While industry experience can be beneficial, especially in highly regulated industries like healthcare or finance, a skilled Data Architect can often adapt their skills across industries. Focus on their ability to understand and translate business needs into technical solutions.
A good Data Architect should be able to innovate while considering practical constraints. They should stay current with new technologies but also understand when to use proven solutions. Look for candidates who can articulate the pros and cons of different approaches and make recommendations based on your organization’s specific needs and constraints.