Lead Consultant – Data Intelligence
Core
Architect and oversee scalable cloud data platforms on AWS and Databricks/Snowflake, defining data modeling standards and governance for client organizations.
Role type
Senior IC data intelligence consultant (cloud data architecture)
Builds
Production cloud data platforms, data pipelines, and governance frameworks for enterprise clients
Domain
Cloud data engineering and architecture (AWS, Databricks, Snowflake)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
AWS data services (S3, Glue, Redshift, Kinesis, Lambda), Databricks (Delta Lake, Unity Catalog), Snowflake, Python, Scala, SQL, dbt, data modeling (star/snowflake, medallion), CI/CD for data, stakeholder management, team leadership
Preferred skills
AWS certifications, Databricks certifications, Apache Airflow DAGs, data mesh concepts, enterprise governance platforms (Collibra, Alation), ML platforms (SageMaker, MLflow), BI tools (Tableau, Power BI)
Technologies
AWS (S3, Glue, Redshift, Athena, Lake Formation, Lambda, Kinesis, IAM, CloudWatch), Databricks (Delta Lake, Unity Catalog, Spark, MLflow), Snowflake (Snowpark, Snowpipe), dbt, PySpark, Kafka, Apache Airflow, Collibra, Alation, Atlan, Tableau, Power BI, QuickSight
Responsibilities
Architect scalable cloud data platforms on AWS; Lead solution design and technical governance for Databricks and/or Snowflake; Define data modeling standards and patterns; Set engineering best practices (CI/CD, code review, testing); Oversee data transformation workstreams using dbt, PySpark, or SQL; Guide platform and tooling selection; Drive data governance, lineage, and cataloguing; Provide architectural oversight on streaming use cases; Contribute to pre-sales activities
Seniority
Senior, hands-on IC with leadership responsibilities
