Data Solutions Architect (Databricks)

Infosys Consulting; Wrocław; On-site; PLN 180,000 - 260,000; Full time

Job summary

Infosys Consulting is seeking a Databricks Architect in Wroclaw to help clients transform data into AI-ready lakehouse platforms. You will advise on architecture across Databricks and cloud ecosystems, covering data products, governance, metadata, lineage, semantic layers and GenAI patterns.

You will work in client-facing, cross-functional teams to deliver target architectures, platform assessments, data product designs, governance models, and implementation roadmaps, with roles across junior to

Qualifications

• Extensive hands-on experience with Databricks Lakehouse Platform.
• Deep knowledge of Spark, PySpark, SQL, Delta Lake, Unity Catalog, Databricks Workflows, Auto Loader and Delta Live Tables.
• Experience designing scalable data platforms on Azure, AWS, or GCP.
• Understanding of data engineering, data modeling, data quality, security and governance.
• Experience with CI/CD, Terraform, Git, monitoring and operational support.
• Strong communication skills to explain complex topics to diverse stakeholders.

Responsibilities

• Lead architecture discussions and review solution designs with senior stakeholders.
• Mentor engineers and engage across cross-functional teams.
• Deliver target architectures, platform assessments, data product designs, governance models and implementation roadmaps.

Skills

Databricks Lakehouse

Spark

PySpark

SQL

Delta Lake

Unity Catalog

Databricks Workflows

Auto Loader

Delta Live Tables

Azure

AWS

GCP

Data engineering

Data modelling

Data quality

Security

Governance

CI/CD

Terraform

Git

Monitoring

Operational support

Communication

Job description

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

About Your Role

Enterprise AI is forcing organisations to rethink their data estates. Traditional reporting platforms are no longer enough for GenAI and AI-driven decision-making. Clients need data that is trusted, governed and consumable by both people and intelligent systems.

As a Databricks Architect, you will help clients transform fragmented data into AI-ready lakehouse platforms. You'll advise on architecture across Databricks and cloud ecosystems, covering data products, governance, metadata, lineage, semantic layers and GenAI data patterns.

This is a client-facing consulting role. You will solve ambiguous problems, shape architecture decisions, and communicate clearly with both technical teams and senior stakeholders.

Working in cross-functional teams, you'll deliver target architectures, platform assessments, data product designs, governance models and implementation roadmaps.

We're hiring across levels. Junior roles focus on delivery and platform expertise; senior roles require enterprise thinking, stakeholder influence and leadership.

We're looking for strong data architects with depth in areas such as Databricks/lakehouse architecture, governance, semantic modelling, data products, metadata or GenAI (e.g. RAG).

Requirements

• Design and deliver modern data lakehouse solutions using Databricks, Delta Lake, Unity Catalog, PySpark, Spark SQL, and cloud data services
• Define end-to-end architecture covering ingestion, transformation, data modelling, governance, security, orchestration, monitoring, and consumption
• Build reusable patterns for batch, streaming, and near-real-time data pipelines
• Implement strong data governance using Unity Catalog, including access control, lineage, cataloguing, and data ownership
• Work with cloud platforms such as Azure, AWS, or GCP and integrate Databricks with tools like ADF, Power BI, Purview, Snowflake, dbt, Kafka, and APIs
• Guide teams on performance tuning, cost optimisation, cluster strategy, job scheduling, and production support
• Drive DevOps/DataOps practices using CI/CD, Git, Terraform, Databricks workflows, and automated deployment
• Lead architecture discussions, review solution designs, mentor engineers, and engage confidently with senior stakeholders

Skills and Qualifications

• Strong hands-on experience with Databricks Lakehouse Platform
• Deep knowledge of Spark, PySpark, SQL, Delta Lake, Unity Catalog, Databricks Workflows, Auto Loader, and Delta Live Tables
• Experience designing scalable data platforms on Azure, AWS, or GCP
• Good understanding of data engineering, data modelling, data quality, security, and governance
• Experience with CI/CD, Terraform, Git, monitoring, and operational support
• Strong communication skills with the ability to explain complex technical topics clearly

Personal attributes

• Comfortable working in ambiguous consulting environments, shaping options, making trade-offs explicit and taking senior stakeholders on the journey from strategy to implementation
• Self-directed, able to prioritise and juggle multiple workstreams
• Clear communicator who can simplify complexity for technical and non-technical audiences alike
• Collaborative, curious, continuous learner

Benefits

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We'd love to hear from you....

About Enterprise AI

Our Enterprise AI practice supports large global organisations to find and deliver business value from data and AI. We work within the broader Infosys ecosystem, partnering with deep industry and domain experts to identify transformational opportunities and help clients bridge from strategy through to implementation. We collaborate closely with our global delivery organisation to turn ideas into scalable solutions. Examples of our work include developing AI transformation roadmaps, setting up AI Centres of Excellence, data strategy and readiness assessments, automating complex workflows with multi-agent systems and intelligent document processing with generative AI. We always bring a human-centred and value-led approach to technology transformation.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognized as one of the UK's top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany's top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.