Data Architecture Consulting

Data Architecture Consulting – Build Data Foundations That Scale

Design data systems that evolve as your business grows with Toptal’s Data Architecture Consulting. Our data architects create modern datasets that support analytics, streamline integration, and improve long-term performance.

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Clients Served

35,000+

Total Vetted Professionals

30,000+

Toptal Total Projects Delivered

85,000+

Years in Business

15+

TRUSTED BY LEADING BRANDS

OUR SERVICES

Toptal Data Architecture Consulting

Toptal’s Data Architecture Consulting helps you build data architectures that support scalable operations and future growth. Our data architects align infrastructure, integration, and governance so your data ecosystem evolves alongside your business.

Data Strategy and Roadmap

Define a target-state data vision and phased roadmap that aligns technology investments with business priorities and future growth.

Data Modeling and Design

Build conceptual and physical data models that keep information consistent and reusable across systems and teams.

Data Warehouse and Lakehouse Design

Design warehouses, data lakes, and lakehouses that support high-volume workloads while delivering reliable analytics and reporting.

Data Pipeline Engineering

Create resilient batch and streaming pipelines that move data reliably from source systems to analytics platforms.

Data Integration

Connect fragmented data sources into unified pipelines so teams work from a single, trusted view of the business.

Master Data Management

Define master data and metadata practices that keep core records accurate and consistent across applications.

Data Governance Frameworks

Establish governance policies and ownership that protect data quality and support regulatory compliance.

Cloud Data Migration

Migrate data platforms and workloads to cloud platforms while minimizing disruption and maintaining data integrity.

Data Infrastructure Modernization

Modernize legacy data infrastructure to create scalable architectures that reduce complexity and lower operating cost.

Data Fabric and Mesh Architecture

Design distributed data fabric and mesh patterns that give domain teams defined self-service access to data.

DataOps and Automation

Apply DataOps practices and automation to improve pipeline reliability and accelerate the delivery of new data products.

Data Quality and Observability

Implement monitoring and validation that identify data issues early, before they affect analytics and business decisions.

Looking for guidance about the perfect data architecture consulting service for your needs?

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PARTNERSHIP THAT WORKS

How We Deliver Data Architecture Consulting

Our data architecture experts, with experience at leading companies, develop and deploy tailored solutions to meet your business needs and unique industry demands for sustainable results and long-term success.

Discover

A leader from our team works with you to understand your business challenges, pain points, and strategic goals to uncover new opportunities and identify the options to reach your objectives.

Define

Toptal leaders collaborate with your team to define your specific goals and service needs, evaluating multiple approaches and aligning requirements with your strategic objectives to define the best solution.

Develop

We will create your unique project timeline, process, and first drafts; whether your goal is to modernize your data infrastructure, improve data quality, or scale analytics across the business.

Deploy

Toptal will get to work, tracking quality assurance, handling project management, and maintaining the delivery schedule.

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Robert Orshaw

CEO, Technology Services

As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 500 companies.As Toptal’s CEO of Technology Services, Robert leads strategy and operations across our technical services portfolio, spanning AI, automation, and operations. He previously served as Deloitte’s Managing Director & Chief Commercial Officer, transforming its Cloud Operate and Engineering business into a multibillion-dollar operation. He held senior roles at IBM, Velocity, co-founded Corio, and was CIO for two Fortune 500 companies.

Previously At

CUSTOMIZED SOLUTIONS

Data Architecture Consulting Solutions That Deliver Value

Toptal delivers leading data architecture consulting through its diverse talent network and flexible delivery models. We implement the right skills at each project phase, blending expertise from various roles for seamless execution.

End-to-End Delivery by Toptal
On-demand Talent and Teams

End-to-End Delivery by Toptal

Comprehensive project delivery, tailored to your specific requirements.

CEO, Technology Services

Delivery Manager

Enterprise Data Architect

Data Infrastructure Engineer

Data Integration Architect

Data Engineer

Database Engineer

Cloud Data Engineer

Robert Orshaw

CEO, Technology Services

Previously at

Technology Experience

35+ Years

Rachael Karaffa

Delivery Manager

Rachael serves as a Delivery Manager at Toptal with a focus on leading diverse global teams in developing innovative solutions for our clients. She works across multiple disciplines, including technology, marketing, and management consulting. Rachael specializes in managing people and client relationships, process optimization, and driving teams toward optimal business outcomes.

Previously Managed Client

Experience

9+ Years

Davide Moraschi

Verified Expert in Engineering

35+ Years

of Experience

Enterprise Data Architect

Davide is a data engineer certified by Microsoft Azure and AWS and an experienced data architect. He is the author of "Business Intelligence with MicroStrategy Cookbook." With a career spanning two decades in data warehousing, using relational and NoSQL databases, Davide's job consists of loading, transforming, and visualizing large amounts of data. Lately, he has been working on Cloud Big Data projects with Fortune 500 clients.

Previously at

Adam Ivansky

Verified Expert in Engineering

12+ Years

of Experience

Data Infrastructure Engineer

Adam has more than 12 years of experience in data engineering and data science. His tools of choice include Python 3, Spark, and SQL. His main focus areas include ETLs and machine learning marketing pipelines. Adam is able to effectively communicate with both highly technical and nontechnical specialists.

Previously at

Shanthi Viswanathan

Verified Expert in Engineering

27+ Years

of Experience

Data Integration Architect

Shanthi has more than 27 years of experience developing applications using various technologies. As an architect, she has executed several web-based applications, integrations, data migrations, data conversions, and data warehousing projects with significant hands-on as well as leadership responsibilities. She keeps up-to-date with the latest technologies and can effectively match the business needs with those technologies.

Previously at

Anthony Baxter

Verified Expert in Engineering

27+ Years

of Experience

Data Engineer

Anthony is an analytical and resourceful leader with more than 27 years of experience in data engineering, database development, and process design. He has extensive experience in the financial services industry and a strong ability to understand business and data requirements to develop customized, value-added applications.

Previously at

Gabriel Breahna

Verified Expert in Engineering

30+ Years

of Experience

Database Engineer

Gabriel more than 30 years of experience installing, managing, and using SQL, NoSQL (key-value, columnar, graph), time-series, spatial, in-memory, and cloud databases. He's worked with 10TB OLTP databases, 10TB data warehouses, tables with 10+ billion rows, and databases with 10,000+ tables.

Previously at

Nidhin Nandhakumar

Verified Expert in Engineering

10+ years

of Experience

Cloud Data Engineer

Nidhin is a big data developer constantly looking for exciting and challenging projects. He has worked most of his career in the data domain and comes with a lot of experience working in cloud ecosystems. Nidhin has worked with various cloud migration projects ranging from Amazon Web Services (AWS) to Google Cloud Platform (GCP), GCP to AWS, AWS to Databricks on AWS, etc.

Previously at

On-demand Talent and Teams

30,000+ vetted professionals, ready to deploy individually or in teams.

Big Data Architect

Azure Data Engineer

Data Platform Architect

Data Warehouse Consultant

BI Engineer

Data Warehouse Architect

Data Platform Engineer

Data Warehouse Developer

Cloud Data Engineer

Verified Expert in Engineering

26+ Years

of Experience

Big Data Architect

Yuriy is a data specialist with over 26 years of experience in data warehousing, data engineering, feature engineering, big data, ETL/ELT, and business intelligence. As a big data architect and engineer, Yuriy specializes in AWS and Azure frameworks, Spark/PySpark, Databricks, Hive, Redshift, Snowflake, relational databases, tools like Fivetran, Airflow, DBT, Presto/Athena, and data DevOps frameworks and toolsets.

Previously at

Verified Expert in Engineering

29+ Years

of Experience

Azure Data Engineer

Ted has over 29 years of working with Microsoft SQL and data products with a focus on data warehousing. He has been working primarily in Azure for the last six years, and his current focus is Synapse Analytics workspace. Often in the role of the lead architect, Ted is very familiar with all the supporting Azure technologies to deliver a modern data platform in a secure, performant, cost-efficient way. He is a Certified Azure Data Engineer and Azure Database Administrator.

Previously at

Verified Expert in Engineering

19+ Years

of Experience

Data Platform Architect

Christophe is an AWS-certified data engineer with extensive experience building enterprise data platforms. He has strong skills in designing and building cloud-native data pipelines, data lakes, and data warehouse solutions. Team spirit, kindness, and curiosity are essential values that drive Christophe.

Previously at

Verified Expert in Engineering

13+ Years

of Experience

Data Warehouse Consultant

Ernesto is a business intelligence professional with more than 13 years in the field. With his expertise in data warehousing, Amazon Redshift, MS SQL Server, ETL (SSIS), Tableau Desktop, and Tableau Server, he helps companies integrate and organize data from multiple sources to be used for reporting and analysis. Ernesto’s attention to detail, strategic thinking, and expertise make him a highly qualified individual for various projects.

Previously at

Verified Expert in Engineering

18+ Years

of Experience

BI Engineer

Edison is an Azure BI developer, data engineer, and data architect with 18 years of BI and data engineering experience across industries. Backed by an MCSE Azure Cloud Platform certification, he delivers high-quality BI solutions using Azure Data Factory (ADF), Python, Azure Functions, Azure SQL Database, Azure Synapse, Power BI, Databricks, Analysis Service, and SQL Server. Edison also excels at dimensional modeling, performance turning large data warehouses, and .NET and Angular development.

Previously at

Verified Expert in Engineering

14+ years

of Experience

Data Warehouse Architect

Mabrouk is a data warehouse architect with more than 14 years of experience, and he enjoys his job like the first day. He has hands-on experience modeling and developing data warehouses on top of leading systems like SQL Server, Google Cloud BigQuery, Snowflake, and Databricks.

Previously at

Verified Expert in Engineering

30+ Years

of Experience

Data Platform Engineer

Peter is a seasoned data platform expert specializing in the Microsoft stack, including Azure. With skills ranging from data architecture and engineering to database administration and development, his 30+ years of experience, multiple certifications, and passion for learning set him apart in addressing clients’ diverse data requirements.

Previously at

Verified Expert in Engineering

23+ Years

of Experience

Data Warehouse Developer

Yun is a senior developer with more than 23 years of experience in business intelligence (BI) and data warehousing. She specializes in implementing business analytics and reporting solutions, including capturing business requirements for data integration, data modeling, and report development.

Previously at

Verified Expert in Engineering

10+ Years

of Experience

Cloud Data Engineer

Praveen is an experienced data engineer with eight years of experience designing scalable data solutions across various industries. He's proficient in big data technologies like Apache Spark, Hadoop, and AWS and specializes in data workflow development with Scala and Java. Skilled at Amazon RDS, Amazon S3 (AWS S3), EMR, Neptune, and Microsoft Power BI, Praveen reduces processing times and costs while enhancing business outcomes through Agile methodologies and DevOps practices.

Previously at

Looking for guidance about the perfect data architecture consulting service for your needs?

Get a Free Consultation Now

Looking for guidance about the perfect data architecture consulting service for your needs?

UNRIVALED EXPERTISE

Our Talent Has Worked With Top Companies

Having previously worked with these leading global companies, our talent brings valuable insights and expertise to deliver world-class outcomes.

WHY ORGANIZATIONS CHOOSE US

Toptal in Action

Discover the cutting-edge benefits our clients enjoy globally from the Toptal network.

Toptal helps Zoetis cut diagnostic data processing time by 93% and reduce costs by 67%.

Challenge: Zoetis faced an aging data ecosystem that caused latency of up to 15 minutes. The company needed to modernize to reduce costs and increase scalability.

Solution: Toptal’s data engineering experts built a unified modern platform that streamlined ingestion, transformation, testing, and delivery while introducing reusable validation frameworks. The simplified architecture reduced latency from 15 minutes to under a minute, minimized defects, and established a scalable foundation for growth.

Outcome: The new platform delivers diagnostic results 15× faster, giving customers near real-time visibility into transactions and improving operational efficiency. Meanwhile, the simpler, more scalable architecture, cloud infrastructure, and storage reduces platform operating costs by approximately two-thirds, including an estimated $325,000 in annual cloud hosting savings.

By embedding Toptal's top-class data architects and engineers directly within our Data Services team, we accelerated the rollout of a scalable Databricks platform. Toptal didn't simply deliver expertise; they became intrinsic members of the team.

John Farkas

Global Dx Solution Architecture Head

Toptal Ranked #1 Most Reliable Professional Services Company in America

Newsweek and Statista’s rankings were based on an independent survey of more than 2,400 decision-makers at Fortune 500s.

IBM — Newsweek's Most Reliable Companies in America 2026 ranking. Toptal is ranked #11, the highest-ranked professional services firm.

See the Most Reliable Companies in America

Methodology for the Rankings

How likely the respondent is to recommend the selected company to others.

Measures the convenience of interaction with the company and efficiency of processes.

Measures the company’s cost-effectiveness and quality relative to price.

Measures whether the company consistently meets or exceeds expectations in quality and timeliness of deliverables.

Measures the company’s ability to consistently fulfill commitments and maintain customer trust.

See the Most Reliable Companies in America

OUR THOUGHT LEADERSHIP

Explore Insights From the Data Architecture Consulting Field

Read the latest articles and resources on data architecture, covering data modeling, governance, pipelines, and cloud migration, to keep your teams current as your data landscape evolves.

Three Principles of Data Warehouse Development

Data warehouses aren’t exactly a new concept, but industry demand for data science services, coupled with the rise of AI and machine learning, is making them more relevant than ever. In this post, Toptal Data Warehouse Developer Chamitha Wanaguru outlines three basic principles you need to keep in mind when developing a new data warehouse.

Chamitha Wanaguru

Chamitha is an IT veteran focused on the design and development of sustainable, value-focused data systems. He specializes in data warehouse system architecture, data engineering, business analysis, and project management. He has provided leadership and strategic program governance at finanical services firms including Morgan Stanley and UBS.

Expertise

SQL Data Science

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