Devoteam

DATABRICKS Data Architect

Madrid, MD, Spain

Live, first seen by us 23 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Design and implement Lakehouse and Delta Lake architectures across clouds
Develop and optimize ETL/ELT pipelines with Apache Spark and Lakeflow
Implement data governance, security and lineage using Unity Catalog
Optimize Databricks platform performance and costs using FinOps practices
Advise clients on Databricks best practices

From the employer’s posting

Design and implement Lakehouse and Delta Lake architectures across cloud and multi-cloud environments

Develop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Lakeflow Declarative Pipelines

Implement data governance, security, and lineage frameworks using Unity Catalog

Optimize Databricks platform performance and costs, applying FinOps best practices

Advise clients on Databricks best practices and collaborate with technical and business teams

What you’ll bring

All qualifications

Core experience

Strong experience in data architecture and Databricks-based solutions
Deep knowledge of Apache Spark, Delta Lake, Unity Catalog and Photon
Experience with Azure, AWS or GCP cloud platforms
Degree in Computer Science, Information Systems, or equivalent experience

Qualification wording

Strong experience in data architecture and designing Databricks-based solutions

Deep knowledge of Apache Spark, Delta Lake, Unity Catalog, and Photon

Experience with cloud platforms such as Azure, AWS, or GCP

Degree in Computer Science, Information Systems, or equivalent professional experience

Apply at Devoteam

Posting record

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Status in our records: Live
First seen by us: Oct 21, 202623 days ago
Recorded sightings: 110
Last seen by us: Nov 13, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 23

Similar jobs usually come down between day 8 and day 57.

At Devoteam, jobs usually come down by about day 22.

From 9,462 similar postings that came down, and 152 of Devoteam’s. Coming down is not always a hire.

Devoteam is hiring

44 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Leadership hiring is picking up
Takes jobs down at a usual pace
7% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

AWS
Azure
Databricks
Delta Lake
GCP
MLflow
Spark

Where the posting names them

- Deep knowledge of Apache Spark, Delta Lake, Unity Catalog, and Photon. - Experience with cloud platforms such as Azure, AWS, or GCP. - Knowledge of cloud infrastructure, networking, storage, and IAM security.

Job Description You will be responsible for designing, implementing, and optimizing Databricks-based data architectures, ensuring scalable, secure, and efficient solutions. Your main responsibilities will include:

- Define AI governance mechanisms using Unity Gateway. - Design environments supporting Machine Learning, Generative AI, and advanced analytics using MLflow and Databricks Genie. - Optimize Databricks platform performance and costs, applying FinOps best practices.

- Design environments supporting Machine Learning, Generative AI, and advanced analytics using MLflow and Databricks Genie. - Optimize Databricks platform performance and costs, applying FinOps best practices. - Participate in data platform modernization and migration projects towards Lakehouse architectures.

- Participate in data platform modernization and migration projects towards Lakehouse architectures. - Advise clients on Databricks best practices and collaborate with technical and business teams. Qualifications

WHAT ARE WE LOOKING FOR? - Strong experience in data architecture and designing Databricks-based solutions. - Deep knowledge of Apache Spark, Delta Lake, Unity Catalog, and Photon.

- Knowledge of Generative AI and Machine Learning. - Experience migrating legacy data platforms to Databricks. - Knowledge of FinOps and cloud cost optimization.

- Knowledge of FinOps and cloud cost optimization. - Databricks Data Engineer Professional certification or Platform Architect accreditations. Additional Information

- 100% remote working model. If you enjoy designing modern data architectures and leveraging Databricks to help organizations unlock the full potential of their data, we'd love to hear from you! Company Description

Are you passionate about data and enjoy designing modern, scalable, and secure data architectures? At Devoteam, we are looking for a Databricks Data Architect to join our team and contribute to data architecture, platform modernization, and digital transformation projects for leading clients. You will work with the Databricks Data Intelligence Platform, designing Lakehouse solutions across cloud and multi-cloud environments, enabling advanced analytics, data engineering, and Artificial Intelligence capabilities.

At Devoteam, we are looking for a Databricks Data Architect to join our team and contribute to data architecture, platform modernization, and digital transformation projects for leading clients. You will work with the Databricks Data Intelligence Platform, designing Lakehouse solutions across cloud and multi-cloud environments, enabling advanced analytics, data engineering, and Artificial Intelligence capabilities. We are looking for someone with strong technical expertise, an architectural mindset, autonomy, and a customer-oriented approach.

Your main responsibilities will include: - Design and implement Lakehouse and Delta Lake architectures across cloud and multi-cloud environments. - Develop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Lakeflow Declarative Pipelines.

- Strong experience in data architecture and designing Databricks-based solutions. - Deep knowledge of Apache Spark, Delta Lake, Unity Catalog, and Photon. - Experience with cloud platforms such as Azure, AWS, or GCP.

Nice to have: - Experience with Lakeflow, MLflow, Genie, or Unity Gateway. - Knowledge of Generative AI and Machine Learning.

- Design and implement Lakehouse and Delta Lake architectures across cloud and multi-cloud environments. - Develop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Lakeflow Declarative Pipelines. - Implement data governance, security, and lineage frameworks using Unity Catalog.

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Job Description

You will be responsible for designing, implementing, and optimizing Databricks-based data architectures, ensuring scalable, secure, and efficient solutions.

Your main responsibilities will include:

Design and implement Lakehouse and Delta Lake architectures across cloud and multi-cloud environments.
Develop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Lakeflow Declarative Pipelines.
Implement data governance, security, and lineage frameworks using Unity Catalog.
Define AI governance mechanisms using Unity Gateway.
Design environments supporting Machine Learning, Generative AI, and advanced analytics using MLflow and Databricks Genie.
Optimize Databricks platform performance and costs, applying FinOps best practices.
Participate in data platform modernization and migration projects towards Lakehouse architectures.
Advise clients on Databricks best practices and collaborate with technical and business teams.

Qualifications

WHAT ARE WE LOOKING FOR?

Strong experience in data architecture and designing Databricks-based solutions.
Deep knowledge of Apache Spark, Delta Lake, Unity Catalog, and Photon.
Experience with cloud platforms such as Azure, AWS, or GCP.
Knowledge of cloud infrastructure, networking, storage, and IAM security.
Experience designing ETL/ELT pipelines and data processing solutions.
Knowledge of data governance, performance optimization, and Lakehouse architectures.
Strong communication skills, autonomy, and a customer-oriented mindset.
Fluent English and Spanish, both written and spoken.
Degree in Computer Science, Information Systems, or equivalent professional experience.

Nice to have:

Experience with Lakeflow, MLflow, Genie, or Unity Gateway.
Knowledge of Generative AI and Machine Learning.
Experience migrating legacy data platforms to Databricks.
Knowledge of FinOps and cloud cost optimization.
Databricks Data Engineer Professional certification or Platform Architect accreditations.

Additional Information

WHAT CAN YOU EXPECT FROM DEVOTEAM?

At Devoteam, we believe technology creates greater impact when combined with talented people. We offer:

Competitive salary based on your experience.
Annual performance bonus, linked to individual, team, and company objectives.
Flexible compensation package, including transport, childcare, training, health insurance, and meal benefits.
Employee benefits, including discounts, physiotherapy, and free English classes.
Career development opportunities, with access to training, certifications, and annual performance reviews.
100% remote working model.

If you enjoy designing modern data architectures and leveraging Databricks to help organizations unlock the full potential of their data, we'd love to hear from you!

Company Description

Are you passionate about data and enjoy designing modern, scalable, and secure data architectures?

At Devoteam, we are looking for a Databricks Data Architect to join our team and contribute to data architecture, platform modernization, and digital transformation projects for leading clients.

You will work with the Databricks Data Intelligence Platform, designing Lakehouse solutions across cloud and multi-cloud environments, enabling advanced analytics, data engineering, and Artificial Intelligence capabilities.

We are looking for someone with strong technical expertise, an architectural mindset, autonomy, and a customer-oriented approach.

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