Description

Design implementation architectures and solutions that align customer data estates with IT priorities and business goals. Own the modernization of Data Platform, Analytics, and AI roadmaps to ensure long-term technical viability.

Responsibilities

• Architect solutions integrating Cloud ML, Big Data, Data Lakes, and Data Warehouses while ensuring performance, security, and scalability.
• Build technical relationships with senior IT executives and stakeholders to drive cloud adoption and consensus.
• Collaborate with engineering teams to resolve blockers and act as the voice of the customer regarding best practices.
• Lead and influence virtual teams to ensure successful implementation of complex customer projects.

Required Skills

• 8+ years of experience in architecture, design, implementation, or support of highly distributed applications.
• Expertise in two or more Data Platform Cloud solutions, including SQL (PostgreSQL, MySQL), Azure SQL, NoSQL (MariaDB, MongoDB), or Cosmos DB.
• Experience with Big Data and Data Warehousing tools such as Azure Synapse Analytics, Snowflake, GCP BigQuery, or AWS Redshift.
• Proficiency in Advanced Analytics tools including Azure Databricks, Azure ML, Google AI, or Python.
• Hands-on experience with data estate workloads like Teradata, Oracle Exadata, IBM Netezza, SAP HANA, or Hadoop.
• Technical experience with cloud and hybrid infrastructures, database migrations, and enterprise-scale architecture.
• Strong ability to solve customer problems through cloud technologies and communicate complex solutions to executives and engineers.

Preferred Skills

• Financial or international industry experience.
• Professional certifications in cloud technologies.

Key Skills

Education

Bachelor's degree in Computer Science, Information Technology