Big Data Architect
Architecture
Big Data Architect
Wrocław
Type of work
Undetermined
Experience
Senior
Employment Type
B2B, Permanent
Operating mode
Remote
Tech stack
Azure
Hadoop
NoSQL
Python/Java/Scala
Job description
Online interview
WE ARE
Advisors, engineers, and designers solving business challenges with innovative technology solutions. Our expertise in Machine Learning, AI, Big Data, IoT, Cloud technologies are recognized by Google and Amazon. Our Big Data & AI Center of Excellence is the largest in Eastern Europe.
Together with the SEI, Carnegie Mellon University, we adapted ADD and ATAM architecture design methodologies to Big Data needs and invented the Smart Decisions game, to promote architecture design best practices in AI and Big Data domains.
YOU ARE
A seasoned Data Architect with hands-on experience in building large-scale Data Platforms and decision-support systems, with a proven record of success in delivering Big Data & Analytics solutions for different businesses, having an excellent understanding of distributed computing, architectural tactics, and patterns; demonstrating strong interpersonal and presentation skills.
With extensive experience in
- Designing and implementing enterprise-scale solutions in the AWS, GCP, or Azure clouds
- Hadoop stack, NoSQL, MPP technologies, processing frameworks, or other Big Data technology areas
- One of the following programming languages: Java, Scala, Python, or strong SQL
- Building large-scale Data Platforms and decision-support systems, covering at least one of the following areas: data ingestion, consolidation, streaming, batching, Data Lakes, Data Warehousing, or analytics platforms
- Designing sustainable architectures, performing trade-off analysis of different architecture tactics and patterns, and applying proven architecture design approaches and methodologies
- Driving projects roll-outs from requirements gathering to go-live
YOU WANT TO WORK WITH
Your duties will enable you to
- Design and implement sustainable architectures, create innovative Big Data and AI solutions
- Evaluate cutting-edge Big Data technologies, implement PoCs and MVPs, utilize rapid prototyping techniques to accelerate time-to-market for our Clients
- Deliver business value, leveraging available data assets, Big Data technologies, ML and AI
- Adopt new technologies and methodologies, define and promote best practices on your projects
- Demonstrate leadership and motivate project team
- Perform trade-off analysis of different architecture tactics and patterns, provide justification of architectural decisions
- Manage risk and make a decision regarding timelines and deliverables, other commitments associated with project scope
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