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Remote mid-senior data platform role with common Snowflake/PowerBI skills increases competition.
Technical Snowflake and ETL skills transfer well, but consulting/finance domain experience is preferred.
Mandatory 6–9 years plus Snowflake, Power BI, governance, and architecture expertise creates strict filters.
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Own and lead the architecture, design, and modernization of the enterprise data platform including Snowflake data warehouse/lakehouse and Power BI models.
Establish scalable, governed, AI-ready data infrastructure integrating multiple data sources like Salesforce, APIs, and finance systems.
Provide technical leadership to data engineers, BI developers, analysts, and AI engineers while supporting data governance, quality, lineage, and observability standards.
6-9 years of experience in data architecture, data engineering, cloud data platforms, or analytics engineering.
Hands-on experience with Snowflake, SQL, data modeling, ELT/ETL, enterprise data warehouse design, and Power BI semantic models.
Strong understanding of data governance, security, role-based access, data quality, and lifecycle management.
Experience integrating data from SaaS platforms, APIs, finance systems, Salesforce, and flat-file sources.
Experienced in leading enterprise-scale, scalable, and governed data platform architectures with hands-on technical contributions.
Familiar with modern cloud-based data integration and BI tools, able to modernize manual/fragmented reporting and analytics workflows.
Comfortable working at the intersection of data engineering, AI readiness, and enterprise data governance in finance or professional services contexts.