Senior Data Platform Consultant

Participate in projects in public, hybrid and multi-cloud data. Gathering and understanding requirements to develop Data Platforms
Design and build data platforms/data warehouses, ETL processes and Machine Learning solutions on an enterprise scale on Azure infrastructure
Developing and implementing an organizational data strategy with our customers
Propose project estimations and timelines according to gathered requirements
Preparing cloud adoption roadmaps and project documentation
Support and lead implementation teams from concept to implementation, providing technical expertise in analytics and data processing
Develop professionally by participating in the most interesting and innovative projects on the market, implemented for clients who are leaders in their industries in Poland and in the world

Leading the Data Engineering competency domain that are targeted for delivery optimization and our team of Data Engineers in Elitmind
Stay ahead of industry trends and best practices, conducting research and executing new techniques
Setting up and developing internal procedures and standards for development and operations
Manage internal Center of Excellence initiatives in DevOps tribe. Gather best practices, frameworks and standards to provide as much reusable components as possible
Provide a technical roadmap and architecture for Data platforms that will be proposed to our customers
Be trusted advisor for customers
Gather customer requirements and prepare work estimation for offers
Participate in creation of Data Platform services offer and selling strategy in area of data platform administration and maintenance

Very good knowledge of Azure
Experience in designing and developing Data Platforms (Data Warehouses, Data Lakehouses, Delta Lakes) and ability to become an expert in implementing latest architectural trends for Data Platforms,
Experience with Databricks, with particular emphasis on the latest functionalities of this platform (e.g. Delta Live Tables and Unity Catalog),
Good understanding of Azure infrastructure (VNETs, VMs) and Identity components,
Good understanding of Cloud Adoption Framework, both Enterprise (basic understanding) and Data (very good understanding),
Experience in designing data platform architecture, including Connectivity, Authorization and Authentication, CI/CD Processes, Data access organization, Access and governance, Scalability, Cost Management,
Ability to drive the project, including the creation of tasks for the team, driving meetings, encouraging team members to take on complex tasks, and supporting them,
Excellent communication skills and experience interfacing with Business stakeholders, Management, Engineers, and Tech Leadership,
Ability to manage stakeholder relationships,
Strategic, big-picture design thinking for the business.

Nice to have:

5+ years of experience in configuration/release management, deployment, maintenance and familiarity with various Data Platforms and practices in data area
Experience in creating frameworks, using automation tools and executing best practices in real world Data Platform implementation projects
Knowledge of enterprise architectures and technology trends, with specific focus on the Microsoft ecosystem
Very good coding skills with knowledge of best practices in SQL, Python
Conceptual and technical knowledge on CI/CD Pipelines, Automation Practices, Technical Operations Monitoring
Experience in Azure Data services, Databricks, MS Fabric
Experience managing both pre-sales (offering and solutioning), managing the capability and being responsible for the delivery quality.
Working knowledge of English (spoken and written)
Open minded, self-driven, eager to learn new technologies and put newly acquired knowledge into practice.

Nice to have:

NEEDED!