Data architect: what they do, how much they earn, and how to become one

The data load almost sank the project.

I was on an SAP implementation project, and in the final stretch before go-live the data load got so slow it nearly jeopardized the entire cutover. Sleepless nights, the whole team hovering over the database trying to understand why a process that should run in hours was running for days.

The system was right. The business rule was right. What was missing was someone thinking, before the project even started, about how the data would flow, where it would be stored, in what volume, with what structure. That person has a name: data architect.

A data architect is the professional responsible for designing the data structure of an entire company, defining how information is generated, stored, integrated, processed, and delivered to the people who need it, with security, performance, and compliance. It is an engineering role and a governance role at the same time, which is why it increasingly shows up as one of the most sought-after jobs in technology in Brazil.

What a data architect does

Day to day, the data architect draws the map along which information travels inside the company. They decide whether a piece of data lives in a data warehouse, a data lake, or a hybrid structure, how the different databases talk to each other, which tool handles the integration between the ERP and the satellite systems, and how to make sure the same data isn't interpreted one way in procurement and another way in finance.

They also define the data modeling standards, the quality criteria information must meet before it circulates through the company, and the access and security rules that protect what is sensitive. In companies running SAP, TOTVS, or Oracle, this is the person who designs how customer, supplier, and material master data will be structured before any MDM tool even enters the picture.

That brings the data architect very close to data governance. There is no good architecture without a data policy, a defined owner, and a maintenance process. The architect designs the road. Governance decides who drives on it and under what rules.

Data architect and data engineer are not the same role

This confusion shows up in almost every company I work with. The data engineer builds the pipelines, writes the code that moves and transforms information, and keeps the infrastructure running. The data architect decides the design the engineer will build.

A simple way to explain it: if the company were a house, the data architect draws the blueprint, decides where each room goes and where the wiring runs. The data engineer is the one who builds the wall, installs the wiring, and makes sure power reaches the outlet. Both need to exist. Mixing up the two roles is one of the most common causes of data projects that never get off the drawing board, because nobody drew the blueprint before construction started.

Where this professional fits inside the company

The data architect normally reports to the technology area, directly to the CDO when the company already has that seat, or to IT leadership when it doesn't. They work side by side with the governance team, with the data stewards of each domain, with the procurement, supply chain, finance, and sales teams who own the data day to day, and with the technology vendors who will implement what they designed.

In migration projects, such as an ERP replacement or an SAP S/4HANA implementation, the data architect comes in before the implementation team, because they define whether the current master data can be reused, what transformation it needs, and what structure the new system will require. I have seen projects slip by months because that definition only showed up midway.

The tools a data architect masters

This professional doesn't write the integration code, but needs to understand deeply what each tool on the market solves in order to make the right choice. In master data and governance, the market references are SAP Master Data Governance, Informatica, Stibo Systems, Reltio, Semarchy, Profisee, and Ataccama. In catalog and metadata, Collibra, Alation, and Microsoft Purview appear. In data quality, Ataccama and Informatica Data Quality stand out.

Add to that knowledge of modeling in relational and non-relational databases, of cloud architectures such as AWS, Azure, and Google Cloud, of data warehouse and lakehouse tools, and of integration between legacy systems and new platforms. I mention these tools neutrally, because the right choice depends on the size of the company, the ERP already in use, and the maturity of the team, never on which vendor is loudest in the market.

How to become a data architect

The most common path starts in foundational technical roles: development, database administration, data engineering, or support for systems like SAP. Over time, this professional takes on responsibility for modeling and integration decisions, until the company starts calling on them to design the whole structure, not just a part of it.

Certification carries real weight in this transition. There is a widely repeated myth in Brazil that certification is useless. Nonsense. DAMA's CDMP certification, with its different levels, organizes data management knowledge end to end and is internationally recognized. Enterprise architecture certifications such as TOGAF help you think about data structure within the company's bigger picture, and the cloud architecture certifications from the main platforms prove the technical ability to put the design into production.

Studying on your own helps, but taking part in real governance and master data projects is what completes the training. It is by looking at the master data of a real company, with unapproved suppliers and duplicate materials, that data architecture theory stops being a slide and becomes a decision.

How much a data architect earns in Brazil

The range varies quite a bit by seniority and company size, but market numbers give a clear reference. Early-career professionals in this role, with one to three years of architecture experience, usually earn between R$ 9,000 and R$ 11,000 per month. At the mid level, the range rises to something between R$ 10,000 and R$ 12,000. Senior data architects, with more experience and responsibility for the structure of large companies, reach ranges between R$ 13,000 and R$ 20,000, and can exceed that in multinationals and specialized consulting contracts.

It is one of the best-paid seats in the data field, precisely because it demands business vision, technical depth, and project experience that you don't learn from a course alone.

Opportunities in the market

Demand for this professional grows alongside the pressure every company feels to organize its data before using artificial intelligence for real. There's no point buying the most expensive AI tool on the market if the data structure underneath is fragile. I have witnessed this in meetings where the executive approves a million reais on an AI tool and turns up their nose at a thousand-reais investment at the data source.

Mid-sized and large companies that run SAP, TOTVS, or Oracle, operate across multiple systems, and are in the middle of a migration or a governance maturity effort are the ones opening the most data architect positions today. Remote work has also opened room for this professional to act as a consultant for more than one company at the same time, which widens the earning range for those with established experience.

Main questions about data architecture

Does a data architect need to know how to program? They need to understand code well enough to talk to the technical team and validate a decision, but the role is not about writing pipelines every day. The focus is on design, standards, and structural decisions.

What is the difference between a data architect and a solutions architect? The solutions architect thinks about the structure of systems and applications more broadly. The data architect focuses specifically on how information is modeled, stored, and integrated within that structure.

Is a data architect the same as a Chief Data Officer? No. The CDO defines data strategy and policy at the executive level. The data architect designs and implements the technical structure that makes that strategy viable.

Can you move from data engineer to data architect? Yes, and it is the most common path. It requires broadening your business vision, understanding governance, and learning to see the impact of architecture beyond the code.

Does every company need a data architect? Small companies usually split this responsibility between the IT team and a more experienced engineer. Past a certain volume of data and integrated systems, having someone dedicated stops being a luxury and becomes a necessity.

MDM Academy: where to learn master data and governance in practice

I created MDM Academy to be the Brazilian school of data governance and master data, designed for people who want to move past theory and learn from those who design and implement data structure in real companies every day. There, the content covers architecture, governance, MDM, data quality, and career with the same direct language I use here, always tying the technical concept to its impact on procurement, supply chain, finance, and technology.

Those who want to go deeper on this path can get to know MDM Academy or join the Data Club, our community of professionals who exchange real experience about master records, governance, and master data, without the generic talk that is all over the place.

Conclusion

Data architecture is not a behind-the-scenes topic. It is the decision that defines whether the MDM project, the ERP migration, or the AI initiative will work or stall on the first heavy load. Every company that has felt the pain of a slow system, an integration that breaks, or data that doesn't match from one report to another has felt firsthand the absence of a well-positioned data architect.

At your company, who designs the data structure before the next big project starts?