Job Description & Summary
Join PwC’s ATS Data & AI team and help build modern lakehouse platforms and analytics solutions on Databricks. We’re growing quickly and opening multiple Databricks opportunities across seniority levels—whether you’re a hands-on Databricks Engineer or a Databricks Solution Architect who can design end-to-end platforms and lead technical delivery. If you enjoy solving real client problems, working with cutting-edge cloud data stacks, and delivering production-grade solutions, we’d like to meet you.
As a Databricks Architect, you will act as a technical authority for Databricks-based delivery—supporting teams with design decisions, reviewing implementations, and driving best practices for production. This role is ideal for someone who enjoys being close to engineering work while influencing how platforms and pipelines are built at scale.
Building scalable ingestion and transformation pipelines on Databricks (batch and streaming where relevant)
Designing lakehouse architectures using Delta Lake and best-practice patterns (e.g., medallion)
Productionizing workloads with strong DevOps/CI-CD, automation, monitoring, and cost optimization
Supporting governance and secure access patterns (Unity Catalog where applicable)
Working with global teams and clients to deliver measurable outcomes
Architecture & Standards: Define and promote lakehouse architecture patterns (Delta Lake, medallion approach, batch/streaming where relevant) and engineering standards for Databricks delivery.
Governance & Security: Help implement secure-by-design patterns (RBAC, secrets management, networking), and support governance approaches such as Unity Catalog where applicable.
DevOps & Delivery Readiness: Support production-grade delivery through CI/CD practices for Databricks assets and automation tooling.
Operational Excellence: Improve monitoring/alerting, reliability practices, and runbooks to support stable production operations.
Hands-on Troubleshooting: Diagnose and resolve issues across Databricks clusters, jobs/workflows, notebooks, libraries, and permissions; perform root cause analysis.
Performance & Cost Optimization: Tune Spark workloads (partitioning, skew, joins, caching, file sizing), improve cluster configurations and policies, and optimize runtime/cost.
Enablement: Coach engineers, run knowledge sessions, review code/notebooks, and document reusable playbooks.
Strong hands-on experience with Databricks in production
Deep knowledge of Apache Spark and Delta Lake (e.g., MERGE, OPTIMIZE/ZORDER, compaction, small files handling)
Strong programming skills in Python/PySpark (Scala is a plus) and solid SQL
Experience working with cloud data platforms (Azure/AWS/GCP) and cloud storage (e.g., ADLS/S3)
Ability to communicate clearly with engineers and stakeholders and take ownership in ambiguous situations
Unity Catalog and enterprise governance experience (catalogs/schemas/permissions/lineage concepts)
CI/CD for Databricks assets (Azure DevOps / GitHub Actions / Jenkins) and automation tooling
Infrastructure as Code experience (Terraform preferred)
Experience with streaming workloads (Structured Streaming, Auto Loader)
Databricks and/or cloud certifications
Work on global projects and modern lakehouse platforms with real client impact
Be a key player in technological innovation and engineering excellence at PwC
Flexible work arrangements, suited to your lifestyle
A culture that values knowledge sharing, continuous learning, and practical delivery
Sample solution: https://urbanheatreport.sk.pwc.com/
Conference presentation: https://www.youtube.com/watch?v=v3epaKs2piA
Team profile: https://jobs-cee.pwc.com/sk/sk/solvers-of-pwc-adam-knaze
In media: https://hnonline.sk/pr-clanky/96082678-umela-inteligencia-moze-posunut-financne-oddelenia-na-uplne-novu-uroven
Thought leadership: https://www.pwc.com/gx/en/issues/technology/path-to-generative-ai-value.html
Salary: starting from 3 000 - 4 200 EUR/month
(For candidates with demonstrated experience the salary is negotiable based on experience and proven seniority.)
Contract type: Full-time
Start date: By agreement
Financial Rewards: Benefit from regular salary reviews, performance bonuses and other special bonuses. Enjoy meal contributions and a cafeteria benefit system offering personalized choices.
Flexibility & Work-Life Balance: Enjoy our hybrid working policy, flexible working hours, 2 extra days off during Christmas along with Sick-days. Every minute of your extra work is valued and compensated.
Career Development: Engage in tailored internal and external training programs as well as structured career development plan.
Health & Well-being: Access premium benefits such as Multisport card or a medical center membership. Take advantage of our Well-being and Work-Life Coaching program.
Supportive Culture: Participate in team building activities and social events and join our employee referral program. Experience a culture with regular feedback and a supportive environment.
Global Opportunities: Seize the opportunity for international assignments and work on diverse projects with international clients. Explore the world while working with the possibility of working from abroad.
Extra perks: Use various discounts at partner companies such as cars, health care, beauty, culture or others. Transfer up to 4 telephone numbers at discounted rates.
At PwC, we believe in nurturing your career, supporting your health and wellness, and recognizing your dedication. Join our team and experience a workplace that values you beyond your work hours.
If you'd like to apply for this position, please click on the "Apply Now" button on our website and apply through our system.
You can find the data privacy announcement here: https://pwc.to/2s8n2tn
If the current position is not right for you but you have friends or acquaintances in your area who could be interested in working with us, feel free to direct them to us. If we establish cooperation with a candidate recommended by you, you can receive a reward from 300 to 1000 EUR, depending on the seniority of the candidate: https://www.pwc.com/sk/en/careers/get-rewarded-for-recommending-candidate.html
#LI-VB1