Data platform consultant
A modern data platform is the foundation for data-driven decision-making. We find specialists who can design and build your data platform — from data lake and data warehouse to real-time analytics and data governance.
What is a modern data platform?
A modern data platform collects, processes and makes data available for analysis, reporting and AI/ML. It replaces siloed data stores with a scalable and flexible architecture that supports the entire organisation's data needs.
- Data lake and data lakehouse: Storage of raw data in Azure Data Lake, AWS S3 or GCP Storage.
- Data warehouse: Structured data for analysis in Azure Synapse, Snowflake or BigQuery.
- Databricks: Unified analytics platform for ETL, ML and real-time data processing.
- Data governance: Data catalogue, data quality, lineage and access management.
- ETL/ELT pipelines: Data integrations with Azure Data Factory, dbt, Airbyte and similar.
Which data platform consultants do you need?
Building a modern data platform requires a team of specialists with skills across data engineering, architecture and governance.
- Data engineers: Build and maintain data pipelines, transformations and integrations.
- Data architects: Design the overall data platform architecture and data models.
- Databricks specialists: Implementation of lakehouse architecture and Spark-based pipelines.
- Data governance consultants: Implementation of data catalogue, data quality and master data management.
- Analytics engineers: dbt modelling and transformation of data into analytics-ready layers.
Our approach to data platform projects
Data platform projects are typically long-term and require a strong architectural vision combined with practical implementation experience. We find consultants with both.
- Consultants with experience from modern data platform architectures and cloud-native data stacks
- Specialists in Databricks, Azure Synapse, Snowflake, dbt and other modern data platforms
- Understanding of data governance, data quality and the organisation's data needs
- Screened profiles within 3 working days
↗Useful resources
?Frequently asked questions
QCan you find Databricks specialists?
Yes — Databricks is one of the most sought-after skills in data engineering, and we have access to specialists with certified Databricks experience.
QWhat is the difference between a data engineer and an analytics engineer?
A data engineer builds and maintains data pipelines and infrastructure. An analytics engineer (typically using dbt) focuses on transforming and modelling data into analytics-ready layers in the data platform.
QDo you help with data governance as part of the data platform project?
Absolutely. Data governance is essential for ensuring data quality, compliance and trust in data across the organisation. We find specialists in Microsoft Purview, Atlan and other governance platforms.
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