Azure Data Architect with Databricks (Kraków, Poland)
Kraków, Małopolskie, Poland
Full Time Senior-level / Expert PLN 319K - 439K
Xebia
Leading global technology consultancy providing strategy, software engineering, advanced training, and managed services to help businesses thrive in the AI-enabled digital era.Hello, let’s meet!
We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.
We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.
Formerly we were known as PGS Software. In 2021, we joined Xebia
Group – a family of interlinked companies driven by the desire to make a
difference in the world of technology.
Xebia stands for innovation, talented team members, and technological
excellence. Xebia means worldwide recognition, and thought leadership.
This regularly provides us with the opportunity to work on global,
innovative projects.
Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.
What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes!
Now, we've talked a lot about ourselves – but we'd love to hear more about you.
Send us your resume to start the conversation and join the #Xebia.
You will be:
- interpreting and delivering strategic plans that enhance data integration, quality, and delivery, aligned with business initiatives and roadmaps,
- designing data systems' structure and layout, encompassing databases, warehouses, and lakes,
- selecting and implementing database management systems tailored to the organization’s needs, defining data schemas, optimizing storage, and setting up data access controls and security measures,
- defining and implementing long-term technology strategies and innovation roadmaps for analytics, data engineering, and data platforms,
- defining and implementing ETL processes from various sources into the organization’s data systems,
- translating high-level business requirements into data models, metadata, test data, and data quality standards,
- working with senior business stakeholders to ensure project delivery aligns with strategic roadmaps,
- simplifying existing data architecture, delivering reusable services and cost-saving opportunities in line with company policies and standards,
- leading and participating in the peer review and quality assurance of project architectural artifacts across the Enterprise Architecture group through governance forums,
- defining and managing standards, guidelines, and processes to maintain data quality,
- collaborating with IT teams, business analysts, and data analytics teams to understand data consumers’ needs and develop solutions,
- evaluating and recommending emerging technologies for data management, storage, and analytics,
- promoting and demonstrating adherence to agreed data architecture and governance within the organization,
- establishing architectural standards and reusable frameworks.
Requirements
Your profile:
- ready to start immediately,
- openness to work on-side, from Krakow office, 2-3 days per week,
- 5+ years’ of relevant experience in design and implementation of data models for enterprise data warehouse/lake initiatives,
- experience leading projects involving data warehousing, data modeling, and data analysis,
- proficiency in Python and SQL,
- experience with Power BI,
- understanding of entity-relationship modeling, metadata systems, and data quality tools and techniques,
- ability to think strategically and relate architectural decisions and recommendations to business needs and client culture,
- ability to assess traditional and modern data architecture components based on business needs,
- ability to synthesize and clearly communicate large volumes of complex information to senior management of various technical understandings
- ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders,
Work from Poland and a work permit to work from Poland are required.
Recruitment Process:
CV review – HR call – Interview – Client Interview – Decision
Tags: Architecture AWS Azure Consulting Data analysis Data Analytics Databricks Data management Data quality Data warehouse Data Warehousing Engineering ETL Excel GCP Google Cloud Power BI Python Security SQL
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