Solutions Architect – Data Analytics

About the role

As a Solutions Architect – Data Analytics you will design and implement robust data solutions that enable strategic decision‑making across the organization. You will partner with business stakeholders to translate data needs into scalable technical architectures, covering data pipelines, warehouses, and advanced analytics.

Key responsibilities

• Collaborate with business units to gather and translate data requirements into technical designs.
• Define and enforce data architecture standards, guidelines, and best practices.
• Design enterprise data models (dimensional and normalized) and oversee data warehouse and data mart implementations.
• Develop and maintain hybrid and multi‑cloud data strategies across AWS, Azure, and GCP.
• Work with data engineers to design, optimize, and monitor ETL pipelines.
• Ensure data quality, security, and governance through profiling, cleansing, and validation processes.
• Partner with data scientists to deploy advanced analytics and visualization solutions.
• Lead and mentor a team of data engineers and analysts, aligning efforts with overall IT strategy.

Required profile

• Bachelor’s degree in Computer Science, Engineering, Information Systems or 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 (conceptual, logical, physical).
• Hands‑on experience with cloud platforms (AWS, Azure, GCP) is a strong advantage.
• Relevant certifications in data architecture, engineering or cloud technologies are highly valued.

Required skills

• SQL
• Python
• Data modeling (dimensional and normalized)
• ETL design and data pipeline development
• Cloud data services (AWS, Azure, GCP)
• Databricks
• Snowflake
• Data governance and security practices
• Data visualization tools