• Architect and implement data lakes and data lakehouse solutions.
• Build custom data engineering pipelines using Python, Java, and SQL.
• Design and optimize BI frameworks for data governance, cataloging, quality,
  security/privacy, and data modeling/curation.
• Develop dashboards and reporting solutions using Looker and other BI tools.
• Manage data flow and processing using Scala and distributed systems.
• Collaborate with stakeholders to translate business needs into technical solutions.
• Drive best practices for data architecture and engineering across the organization.

• 10+ years of experience in Data Engineering and Business Intelligence roles.
• Proven ability to lead and influence as a senior data leader.
• Strong experience with data lakes, data lakehouse, and enterprise-scale data architecture.
• Hands-on expertise in Python, Java, and SQL for building custom solutions.
• Experience with GCP or any major cloud platform; proficiency in BigQuery.
• BI stack knowledge: data catalog, data quality, security/privacy,
  data modeling/curation. Familiarity with Looker, Scala-based data flow, and advanced BI frameworks.
• Excellent communication and stakeholder management skills; ability to explain technical concepts in business terms.
• Strong analytical and strategic thinking skills; tech-savvy and up to date with trends.

• Opportunity to lead enterprise-level data initiatives and shape the future of data strategy.
• A collaborative, innovative environment focused on professional growth.
• Competitive compensation, benefits, and career development opportunities.

What you need to do now

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