Data Modeler Manager/Consultant (She/He/They) - ICH Europe
Accenture Polska
⚲ Warsaw, Krakow, Lodz, Wroclaw, Gdansk
Wymagania
- SQL
- Python
- Snowflake
- Amazon Redshift
- Google BigQuery
Opis stanowiska
Our Technology Strategy and Advisory services help reinvent organizations and build business value thanks to resilient industry-specific technology architectures, as well as cost-efficient and flexible cloud and data solutions. We guide our Clients throughout the transformation journey, we start with a technology and ecosystem strategy that lays a future-ready foundation. We work directly with our Clients, to solve their unique needs. We assume that no two Clients are alike therefore we are flexible, innovative and able to find solutions to non-standard challenges. We deliver consulting assignments across industries and geographies. We work with some of the biggest organizations worldwide, your impact will be truly global and you will collaborate with the brightest minds in the industry. As a Data Modeler/Designer, you will play a critical role in shaping the organization's data architecture strategy to meet evolving business goals. Combining your technical expertise with a collaborative mindset, you will design and implement scalable, efficient, and secure data solutions. Working with cutting-edge technologies in cloud computing and AI, you will drive innovative approaches to data management, ensuring the organization stays ahead in a rapidly evolving digital landscape. By collaborating with cross-functional teams, you will deliver high-quality data models and structures that power analytics, streamline reporting, and enhance decision-making. What’s in it for you: - Collaborate with stakeholders to build and define data architecture strategies that align with business goals, ensuring strategic outcomes. - Work closely with data engineers, data scientists, and IT teams to define robust data models and structures that support analytics and reporting needs. - Oversee the integration of diverse data sources, ensuring consistency, reliability, and quality across data pipelines and systems. - Evaluate and recommend appropriate technologies for data storage, processing, and analysis, balancing short-term priorities with long-term scalability. - Ensure compliance with data governance, privacy, and regulatory standards, fostering high-quality data management practices. - Provide thought leadership and guidance on best practices for data architecture, performance optimization, and troubleshooting.