Hire the Top 2% of
Remote Data Architecture Developers

Eric D.

Vetted Data architecture developer in the United States (UTC-4)

A leading architect, manager, consultant and implementer of data warehousing, BI and CRM applications. Utilize advanced techniques, methodologies, ELT/ETL and real world experience in designing, managing and building large, parallel, big data infrastructures. Key liaison between business stakeholders and the technology teams to translate business and informational requirements into to real world solutions. Manage all aspects of the project life cycle, and coordinate or produce the production of all required project management artifacts including vision, project initiation and cost, business & functional requirements, design, architecture, quality assurance testing, transition and end-user acceptance.

Douglas M.

Vetted Data architecture developer in the United States (UTC-4)

◦ I am an accomplished professional with a robust track record in steering transformative data projects and sophisticated cloud migration strategies. ◦ My expertise lies in leading the design and implementation of state-of-the-art data warehousing solutions and ETL processes, utilizing both legacy and advanced tools like SSIS, Azure Data Factory, and Databricks to optimize data architecture. ◦ With a keen focus on leveraging cloud technologies, I have successfully transitioned legacy systems to modern Azure environments and integrated cloud-native frameworks to enhance data flow and operational efficiency. ◦ I am proficient in employing Master Data Management and Data Quality platforms to uphold data integrity across intricate datasets. ◦ Dedicated to fostering continuous innovation, I employ AI-enhanced development techniques to accelerate delivery times and boost user engagement. ◦ My leadership extends beyond technical skills, as I excel in building and managing cross-functional teams, fostering a culture of collaboration and continuous improvement. ◦ I am committed to aligning data strategy and operational governance with overarching business objectives and compliance standards, ensuring that every project delivers tangible benefits. Areas of Expertise: ◦ Strategic Planning & Execution ◦ Project Lifecycle Management ◦ AI Development Techniques ◦ Stakeholder Engagement ◦ Data Quality Assurance ◦ Custom Motor Controls ◦ Process Management ◦ ETL Frameworks ◦ Cloud Migration ◦ UI/UX Design ◦ Team Building & Leadership ◦ Master Data Management ◦ ETL Development ◦ Data Warehousing ◦ Sensor Integration Technical Skills: SQL, Azure, ADF, Databricks, Big Query, AWS (basic), Microcontrollers (XIAO, Teensy, UNO, ESP32), .NET Development, MicroStrategy, Cognos, Python, JavaScript, SSMS, SSIS

Daya M.

Vetted Data architecture developer in the United States (UTC-5)

Azure Cloud architect, with comprehensive experience in all phases of design, proof of concepts, development and testing, involving data analysis, successfully led multiple projects that involved migrating on-premises infrastructure to Azure, optimizing cloud resources, and ensuring high availability and security. I have worked closely with cross-functional teams, including developers, operations, and business stakeholders, to understand their requirements and translate them into actionable cloud strategies. My ability to articulate complex technical concepts in a clear and concise manner has been instrumental in gaining buy-in from both technical and non-technical audiences

Naga .

Vetted Data architecture developer in the United States (UTC-4)

With over 14 years of IT experience, I specialize in designing, managing, and securing cloudnative infrastructures and enterprise integration solutions. My expertise aligns closely with key responsibilities in healthcare IT security and infrastructure provisioning within hybrid environments * Comprehensive Information Security Program Oversight: Skilled in developing and implementing Information Security Programs that ensure compliance with HIPAA and other healthcare regulations. Leveraging infrastructure as code (IaC) tools such as Terraform, CloudFormation, and ARM templates, I automate and maintain consistent security frameworks that enhance resilience in healthcare settings. - * Cybersecurity and Cross-Functional Team Leadership: Proven experience in leading DevOps engineers and cross-functional teams, focusing on security, scalability, and agile responses. I have directed security initiatives and coordinated effectively with third-party security vendors to meet rigorous information security standards, managing collaboration across technical disciplines. * \- Advanced Security Technologies: Deep understanding of Azure and AWS security tools, NoSQL databases like DynamoDB and CosmosDB, and big data processing with PySpark and Delta Lake. This expertise ensures optimal data protection within a secure, compliant, and optimized IT environment.

Allen S.

Vetted Data architecture developer in the United States (UTC-4)

Experienced technology leader with expertise in architecture, cloud solutions, and data management. Adept at building and leading teams, including offshore collaborations. Proven success in both startups and large enterprises. Over 20 years of hands-on software development experience in Java, Python, C++, and SQL.

David S.

Vetted Data architecture developer in the United States (UTC-7)

Results-oriented AI/ML and Full-Stack Engineering leader with 22+ years of experience. This includes architecting, developing, and deploying cutting-edge AI solutions, including LLMs, generative AI, and large-scale data insights systems. Expertise in a wide range of technologies, including AWS cloud services, CI/CD pipelines, and various AI/ML frameworks (TensorFlow, PyTorch, etc.). Adept at translating business requirements into technical solutions and delivering impactful results in fast-paced, innovative environments.

Prabhdeep G.

Vetted Data architecture developer in the United States (UTC-7)

Accomplished and results-oriented Lead Software Engineer with over 12 years of experience in designing, developing, and managing sophisticated applications using Java and related technologies. Adept at leading cross-functional teams and implementing agile methodologies to deliver high-quality software solutions on time and within budget. Proven expertise in various Java frameworks such as Spring, Hibernate, and Java EE, coupled with a deep understanding of scalable and performance-critical systems. Demonstrated ability to innovate and maintain a high degree of technical knowledge and skill, contributing to the successful completion of complex projects. Seeking an opportunity to drive forward-thinking solutions in a challenging environment.

Matthew L.

Vetted Data architecture developer in the United States (UTC-5)

I have 20+ years in the technology industry and have serviced the financial, government, insurance, healthcare, energy, startup/technology, and retail sectors ranging from data architecture, software engineering, R&D, DevOps, management, strategic consulting, patented applications, and high-value revenue-generating applications & architecture. I hold patents in secured distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. I hold patents in secure distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. ● High-Performance Computing (HPC) ● Microservices Architecture ● Multi-Agent Distributed Computation ● Highly scalable Service Oriented Architectures (SOA) ● Predictive Big Data Analytics ● Consensus Algorithm Design ● High-Value Research & Development ● Cloud Architecture and Implementation ● DevOps and Security Penetration Testing ● System Virtualization and Containerization ● Data Center Relocations ● Security Audits ● Server Performance Management ● Capacity and Deployment Planning ● Management ● Storage Management ● Network Infrastructure Design and Implementation

Scott C.

Vetted Data architecture developer in the United States (UTC-4)

Dynamic software architect & leader with a proven track record of impact in enterprise, startup, and deep tech teams. Skilled in building high-availability solutions and core AI tech from edge to distributed systems. An experienced and engaged software engineer having a strong customer focus, I am an expert at breaking down and solving complex software problems across the full stack and multiple domains. I thrive on collaboration with my team, and take pride in my ability to clearly communicate with stakeholders and customer, while mentoring junior engineers and continuously improving team velocity. Because of my broad/deep full-stack experience with focus on backend (including machine learning and data pipelines), combined with my superpowers of building/growing teams and converting ambiguous user stories to design and actionable/scoped units of work (and then seeing those through to completion), I am able to make a resounding impact, starting on day one, in any organization. Specialties: Core System Software Design and Development; Microservice Architectures; Monitoring and Alerting; Big Data; Performance; Numeric Analysis; Data Analysis; Team Building and Mentorship; Software Development Lifecycle; Continuous integration and improvement.

Zachary J.

Vetted Data architecture developer in the United States (UTC-5)

I have extensive experience in datastores and data pipelines; nearly 15 yr of work that included such. I also have worked on bigdata systems, where we ingested, minimally, more than 200 GB per day. I also have extensive experience in data, including personalization and financial data warehousing.  These kinds of targeting systems designs can become a revenue engine for many kinds of business models. My AI work to date as dealt with data prep, cleaning, structuring and segmenting/classifying, with prediction, recommendation, pricing, and retraining.  Applications included lead source QC, price/value prediction, and matching.  Other applications included regression modeling for attentional measures and content.  Other platform services included feature extraction (structuring) and data rollups with lineage. I’ve done this with financial accounts at MyBankTracker, where I built engines for pricing and personalization, as well as our own CDP / CIP, ad network and fingerprinting/unmasking platform. This was done with student loans, with Barker and LendKey.   I expanded to brokerage and other instruments at Investopedia - where I drove the data architecture of an immersive personal-narrative experience.  I also developed large data warehousing and CDP modeling at Even Financial.   Triple Point Liquidity involved such data in the form of KYC, and was transited via blockchain, compiling indexing time-series in private equity.  Suvie is an IoT company with personalization and e-commerce, consolidating a data warehouse that draws in realtime from more than 12 primary sources.