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Tier-1 brand, metro location, mid-level generalist role with broad technology requirements.
Strong domain-specific data engineering, lakehouse, and migration expertise required, limiting cross-industry transferability.
Explicit 7+ years plus mandatory data-platform, migration, and customer-facing delivery expertise create strict filters.
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Lead technical delivery of data modernization projects involving data migrations, lakehouse implementations, and streaming data pipeline design using Snowflake and related technologies.
Act as technical lead and advisor for customers migrating from legacy platforms like Cloudera, ensuring performance-optimized, cost-effective Snowflake solutions with AI/ML integration.
Collaborate with internal teams to provide feedback and requirements for Snowconvert tool improvements based on real project experiences.
Bachelor's degree in a technical discipline or equivalent practical experience.
7+ years in customer-facing technical roles involving complex implementations and multi-party digital transformation projects.
Experience with data warehousing, business intelligence, lakehouse solutions, cloud projects, Apache Spark, Apache NiFi, and streaming data technologies.
Experience with Cloudera platform migrations and implementing Apache Iceberg or similar open table format lakehouse solutions.
Technical leader with demonstrated ability to manage multi-year digital transformation engagements and deliver business outcomes.
Experienced in designing, implementing, and troubleshooting modern data architectures including lakehouses, streaming, and AI/ML-enabled solutions.
Effective communicator able to engage technical and executive stakeholders, lead workshops, and transfer knowledge enabling customer self-sufficiency.