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Hiring a Freelance Data Architect

Why and when you need a Data Architect

In a connected world like today’s one, data is generated at an unbelievable speed and volume, but to be able to extract meaningful value from that data we need professionals able to design systems to deal, store, transform, analyze, and retrieve it in a timely manner. Notjust the raw meaningless data but all the ecosystem we will build around it, including the analytics which will empower companies to improve their operations. 

Data Architects help companies in designing and preparing these systems that can store multiple shapes of data, structured, semi structured and totally unstructured like media images, audio or pictures.

Almost every year the total volume of data stored, captured and consumed worldwide increases by a 30% and companies more and more rely on this to run their operations

It is the responsibility of the Data Architect to provide a framework for supporting such systems and as a result, enable other professionals to work like data scientists, data engineers, solutions architects and developers alike to consume this information and gather the insights that are relevant for the company.

Find and hire the best and most qualified data architect freelancers through Outvise with the flexibility of engaging with them and paying only for the time or project that you need them.

Certified Data architects in the Network

case study
Data Architect Case Study

Challenge, Context, Problems to be solved

A global company with thousands of customers worldwide determined that as business requirements for having data to analyze its business operations and their partners relationships grow, it was evident that a platform that’s able to scale and accommodate these needs was required.

Mission, tools and methodology

  • Assessed several technologies, some of them on premise and others in the cloud.
  • Determined the business needs, what are the questions that we need to answer now and likely in the future, avoid vendor lock ins, and be able to work in an agile manner supporting the company end to end.
  • Evaluated several technology stacks, cloud providers and current use cases to determine the best solution.

Achieved results

The consultant helped in performing the analysis, understanding business needs and use cases, designing, building, and implementing a platform and a stack of tools to allow answering current and future requirements while being able to adapt costs to the available budget or budgets for each project.

Must have Data Architect Skills

  • IT Architecture and systems design.
  • Cloud-computing as more than 50% of implementations take place in the cloud.
  • Databases of all flavors.
  • DevOps and infrastructure as code.
  • Multiple and disparate file formats.
  • Some development knowledge, preferably in big data engines like: spark, and some of the most widely used languages like Python, Scala and SQL.
  • Be able to build systems for batch and streaming workloads

Responsibilities of this role

Maintain an architecture that meets the demands of the business and is able to evolve as new needs appear.
Also, while doing this, being cost-aware is very important as the costs in these platforms or cloud services can escalate quickly.

Challenges and hot topics for a Data Architect

It is a complex profession that requires being up to date and vigilant to the market as new technologies appear almost every day that breakthrough and disrupt the industries. So, it requires a lot of adaptability and constant training.