Description

Lead technical integration and adoption of the platform across diverse customer technology stacks. Act as the technical bridge between customers and Product/Engineering teams to communicate feedback and drive platform adoption for Data Discovery, Governance, and Metric Management.

Responsibilities

• Integrate the platform into customer tech stacks including Snowflake, Redshift, Databricks, BigQuery, and DBT.
• Build automation and innovation workflows using Active Metadata for tasks like Auto PII detection and dynamic pipeline management.
• Drive platform adoption for key use cases such as Data Discovery, Data Governance, and Metric Management.
• Partner with Sales and Product teams to develop thought leadership within the Active Metadata category.

Required Skills

• 5+ years of experience in customer-facing technical roles such as Solutions Architect, Consulting, or Field Engineering.
• Hands-on experience in Data Engineering and Analytics with proficiency in Python and working with APIs.
• Experience with Snowflake, Redshift, Databricks, BigQuery, and DBT.
• Experience with BI tools such as Tableau, Looker, or Power BI.
• Knowledge of Cloud architecture fundamentals in AWS, Azure, or GCP.
• Understanding of Data Warehouse and Data Lake architectures, ELT/ETL, and orchestration.
• Familiarity with IAM policies, security groups, and networking concepts like VPC peering and PrivateLink.

Preferred Skills

• Exposure to serverless computing, distributed systems, and streaming platforms like Kafka, Kinesis, or Pub/Sub.

Key Skills

Education

Any Graduate