Senior Systems Engineer, Data Management

What you'll do

• Build and lead relationships for highly sophisticated customer accounts.
• Conduct customer needs analysis to anticipate requirements beyond existing solution scopes.
• Prepare detailed product specifications and deliver impact presentations at customer facilities.
• Verify operability of sophisticated product and service configurations within customer environments.
• Perform advanced systems integration to design and implement technical solutions.
• Translate ambiguous business problems into clear data and analytics use cases.
• Build and deliver compelling product demonstrations and Proof of Concepts (POCs).
• Architect and deliver data management, analytics, or data science solutions.

What we're looking for

• 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
• Hands-on experience with at least one major cloud data platform such as Snowflake, Databricks, BigQuery, Redshift, Cloudera, or Synapse.
• Hands-on experience with at least one major public cloud provider including AWS, Azure, or GCP.
• Proven experience architecting and delivering data management, analytics, or data science solutions in areas like cloud migrations, BI modernization, or GenAI/RAG implementations.
• Strong SQL skills for analytical queries, performance tuning, and data modeling including star/snowflake schemas and dimensional modeling.
• Deep understanding of data warehousing, data lakes/lakehouses, ETL/ELT concepts, and data governance including security, lineage, and compliance.
• Experience with data engineering, including unstructured data processing, pipeline orchestration tools like Airflow or Spark, and batch vs. streaming patterns.
• Ability to translate complex technical topics into business-oriented narratives and deliver compelling demonstrations to senior stakeholders (preferred).