Perfect candidate for the position of Data Platform Domain Lead (Head of Data Platform) has:
- 5+ of conceptual and technical knowledge on Analytics, Data Lakes, Lakehouse, Data Warehousing and with architecture frameworks
- 3+ years of experience in leading data solution, project management and team management
- Familiarity with data processing frameworks like SQL, Databricks, Spark, Kafka, as well as cloud services such as Azure or AWS, GCP
- Excellent client facing skills that include conducting compelling technical briefing & demonstrations
- Experience managing both pre-sales (offering and solutioning), managing the capability and being responsible for the delivery.
- Ability to understand business requirements and translate them into technical implementation
- Knowledge of enterprise architectures and technology trends, with specific focus on the Microsoft ecosystem
- 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:
- Understanding of Azure Infrastructure and Deployment
- Experience in Azure Data services, Databricks, Snowflake, MS Fabric
- Familiarity with big data frameworks such as Hadoop, Spark, and others is important.
We’ve been honored as Microsoft Partner of the year 2023 in Poland and following that achievement we are focusing on growth and development, that’s why we are recruiting intensively.
We are looking for a Data Platform Domain Lead to join our existing Dream-Team at Elitmind.
In Elitmind we create and implement solutions that change the face of business. We specialize in IT consulting, especially Data Platforms, Business Intelligence services, advanced analytics, Infrastructure and Data Management connected with Azure platform. That’s why we are looking for a visionary leader who can guide our team in this exciting domain. If you have the skills, experience and drive to lead us in this journey, we want to hear from you!
The Ideal candidate has experience in creating and delivering data platforms, data warehouses , has an exceptionally good understanding of architecture . We are looking for a leader that will be driving domain development, be trusted advisor for our customers and take an active role in sales activities.
A Data Platform Domain Lead is a role that involves leading and managing a team of data professionals who design, build, and operate data platforms and products for our customers. A perfect candidate typically has a background in data engineering or data management, as well as experience in leading and managing data teams and projects . A Data Platform Domain Lead also needs to have strong communication, collaboration, and problem-solving skills , as well as a data-driven mindset and a passion for data innovation .
You will work with a team full of energy and willingness to implement interesting projects with clients from the Enterprise sector around the world.
Sounds exciting? Do not hesitate and apply to become another ElitManiac 🙂
,[Reports to Head of Delivery , Manage a team based on current employees and new hires depending on requirements , Ensuring data quality and integrity in projects , Plan delivery capacity and cooperate with sales department , Gather customer requirements and prepare work estimation for offers , Plan roadmap of domain development and handling realization , Manage internal Center of Excellence initiatives in application development tribe. Gather best practices, frameworks and standards to provide as much reusable components as possible , Monitor project pipeline for domain and take actions if required ] Requirements: Communication skills, lakehouse, Data warehouse, SQL, Databricks, Azure, Azure Infrastructure, MS Fabric, Snowflake, Hadoop Tools: Jira, Confluence, SharePoint, Agile, Scrum. Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects, Employee programs, Integration events, Free coffee, Bike parking, Modern office, Office in the city center, In-house trainings, No dress code.
databricks Agile data-management data-warehouse Pre-sales Amazon Web Services (AWS) Apache Spark Apache Kafka Data Engineering Data lake Azure Azure Data Services snowflake-cloud-data-platform Communication Google Cloud Platform (GCP) SQL Analytics Scrum deployment Hadoop Team management Project management Data Lakehouse