Data Platform Consultant
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Key skills for this role
Key Skills for This Role
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What you'll be doing...
Managing priorities independently and driving outcomes across projects
Building data pipelines for Snowflake/ Databricks or any other modern Cloud datawarehouse/datalakes using Snowflake, Databricks and models using tools like SQL, Snowflake, Databricks, Matillion and DBT
Should be proficient in Pyspark, Fabric data factory/any ETL tool, Building CI/CD pipeline using bit bucket/git hub, Used AWS or equivalent cloud services - SQS, SNS, Cloud storage, cloud watch etc.
Facilitating discussions with clients, adapting your style to different audiences
Offering multiple approaches to solve problems and balancing trade-offs
Should have good communication skill and can design/implement strategic tech solutions
Mentoring junior colleagues and contributing to internal improvements
Identifying opportunities to add business value and strengthen client relationships
Leading a small team to deliver a complex data solution
Facilitating a workshop with a client to shape project direction
Receiving positive feedback on your leadership and strategic thinking
What you'll need to succeed...
Strong SQL skills and experience with ETL tools like Fabric Data Factory, DBT etc
Deep familiarity with cloud platforms like Snowflake, Databricks, Redshift, BigQuery, or Synapse
A consultative mindset and ability to build consensus across stakeholders
Experience mentoring others and driving internal improvements
A purely technical role with minimal client interaction
A focus on data science or machine learning rather than data engineering and analytics
Why choose Snap
Your voice shapes global outcomes
Your expertise leads, not follows
Your impact is visible at every level from engineering to boardroom
About Snap Analytics
Data and AI consultancy helping enterprise organisations modernise data platforms and build AI-ready foundations.
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