Data Solutions Architect (Databricks)

Posted 21 Days Ago
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Wrocław, Województwo dolnośląskie, POL
In-Office
Mid level
Information Technology • Software • Consulting
Transforming Enterprises To Become A Thriving Live Enterprise. AI-Powered. Digital Agility At Scale. Always-On Learning.
The Role
Client-facing Databricks Architect designing and delivering lakehouse platforms and data products. Advise on architecture, governance, metadata, lineage, semantic layers and GenAI data patterns. Build batch/streaming pipelines, implement Unity Catalog governance, integrate Databricks with cloud services and BI tools, drive DevOps/DataOps, optimize performance/costs, and lead architecture discussions while mentoring teams and engaging senior stakeholders.
Summary Generated by Built In

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

Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.


Benefits

About your team

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.

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.... Apply today!


Skills Required

  • Design and deliver data lakehouse solutions using Databricks, Delta Lake, Unity Catalog, PySpark, and Spark SQL
  • Define end-to-end architecture for ingestion, transformation, modelling, governance, security, orchestration, monitoring, and consumption
  • Build reusable patterns for batch, streaming, and near-real-time data pipelines
  • Implement data governance using Unity Catalog including access control, lineage, cataloguing, and data ownership
  • Experience integrating Databricks with cloud platforms (Azure, AWS, or GCP) and 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
  • Implement DevOps/DataOps practices using CI/CD, Git, Terraform, Databricks Workflows, and automated deployment
  • Hands-on experience with Databricks Lakehouse Platform, Spark, PySpark, SQL, 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 monitoring and operational support of data platforms
  • Strong communication skills and ability to engage senior stakeholders and mentor engineers

Infosys Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Infosys and has not been reviewed or approved by Infosys.

  • Healthcare Strength Comprehensive medical coverage for employees and dependents, along with life and disability insurance, is complemented by on-site clinics and pharmacies at some campuses. Options across major networks and supportive programs enhance the core health offering.
  • Parental & Family Support Paid maternity and paternity leave, lactation facilities, and childcare options (including subsidized and on-site in some locations) provide tangible family support. Remote work allowances for family needs further enable work-life integration.
  • Strong & Reliable Incentives A quarterly variable pay structure and incentives for extra work hours create meaningful upside when business performance is strong. Recent bonus outcomes have trended higher than prior periods, providing a morale lift.

Infosys Insights

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The Company
HQ: Bengaluru
337,000 Employees
Year Founded: 2004

What We Do

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

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