Data Architect - Solutions Architect, Data Analytics

About the role

The Solutions Architect - Data Analytics designs and implements robust data solutions that support strategic decision-making. You work closely with business stakeholders to understand their data needs and turn them into technical solutions, architecting complex data pipelines, data warehouses and data marts, and overseeing the development and deployment of advanced analytics solutions.

Key responsibilities

• Translate business data needs into technical solutions and define data architecture standards, guidelines and best practices.
• Design and implement enterprise data models, including dimensional and normalized models, and data governance policies.
• Design hybrid and multi-cloud strategies across AWS, Azure and GCP, and build data warehouses and data marts.
• Work with data engineers on data pipelines and ETL, and with data scientists on analytics solutions.
• Optimize databases through indexing, partitioning and query tuning; ensure data quality and security.
• Implement data visualization and reporting tools, and use tools such as Databricks and Snowflake.
• Lead and mentor data engineers and data analysts, and align with IT strategy.

Required profile

• Bachelor's degree in computer science, engineering, information systems or a related field; master's preferred.
• 7+ years of experience in data warehousing, data engineering or data analytics.
• 3+ years of experience in dimensional data modeling.
• Experience leading and mentoring teams, and strong leadership and communication skills.

Required skills

• Strong SQL, Python and other data programming languages.
• Data integration, ETL and data pipeline expertise.
• Dimensional and normalized data modeling, and knowledge of data lakes.
• Cloud-native platforms (AWS, Azure, GCP); hands-on experience is an advantage.
• Certifications in data architecture, data engineering or cloud platforms are highly valued.