The Role
Design and deliver end-to-end cloud data architectures and pipelines on AWS and Databricks/Snowflake. Perform data modelling, transform data using dbt/PySpark/SQL, ensure data quality/governance, optimise queries, and collaborate with stakeholders in agile teams. Support pre-sales, technical documentation, and cloud cost/platform guidance.
Summary Generated by Built In
Cevo helps organisations build the capability for continuous evolution, turning transformation from a one-off program into a lasting ability to adapt, innovate and deliver better outcomes. As an Australian-owned, born in the cloud, AWS Premier Consulting Partner, we design and deliver modern cloud platforms, unlock data for insight and apply AI where it creates real value, while empowering teams so capability and impact extend well beyond each engagement. With onshore teams across Australia, we’ve partnered with more than 200 organisations across start-ups, commercial, enterprise and government.
Who are you?
As a Senior Data Intelligence Consultant at Cevo, you'll need a combination of technical skills, strategic thinking, and effective communication.
Key Responsibilities:
- Design and implement end-to-end data pipelines and architectures on AWS, using services such as S3, Glue, Redshift, Lambda, Kinesis, and Lake Formation.
- Develop and optimise data workflows in Databricks (Delta Lake, Spark) and/or Snowflake (data sharing, tasks, Snowpark).
- Partner with clients to understand business objectives and translate them into actionable data strategies and technical solutions.
- Perform data modelling, schema design, and query optimisation across cloud data warehouses and Lakehouse architectures.
- Build and maintain data transformation logic using tools such as dbt, PySpark, or SQL-based frameworks.
- Ensure data quality, lineage, and governance best practices are embedded throughout delivery.
- Collaborate with data engineers, analysts, and business stakeholders in agile delivery teams.
- Produce clear technical documentation, solution designs, and presentations for both technical and non-technical audiences.
- Provide guidance on cloud cost optimisation, platform selection, and tooling decisions.
- Support pre-sales activities including scoping, effort estimation, and solution proposals where required.
Required Skills & Experience:
- 6+ years of experience in a data engineering, data architecture, or data consultancy role.
- Strong hands-on experience with AWS cloud platform (S3, Glue, Redshift, Athena, RDS, Lambda, IAM, CloudWatch).
- Proficiency with at least one of: Databricks (Delta Lake, MLflow, Unity Catalog) or Snowflake (warehouses, stages, Snowpipe, Snowpark).
- Solid SQL skills with the ability to optimise complex queries across distributed systems.
- Experience with Python or Scala for data processing and automation.
- Familiarity with data modelling concepts: star/snowflake schemas, medallion architecture, or data vault.
- Exposure to orchestration tools such as Apache Airflow, AWS Step Functions, or Prefect.
- Strong communication skills — able to present technical solutions clearly to non-technical stakeholders.
- Experience working in agile or scrum delivery environments.
Desirable Skills & Certifications
· AWS certifications (e.g., AWS Certified Data Engineer, AWS Solutions Architect).
· Databricks Certified Associate or Professional certification.
· SnowPro Core or Advanced certification.
· Experience with dbt (data build tool) for transformation pipelines.
· Knowledge of data governance frameworks and tools (e.g., Apache Atlas, AWS Glue Data Catalog, Alation).
· Exposure to streaming and real-time data architectures (Kafka, Kinesis, Spark
· Streaming).
· Previous consulting or client-facing delivery experience.
· Familiarity with BI/visualisation tools such as Tableau, Power BI, or Quick Sight.
Life at Cevo
Our people are at the heart of Cevo. We’re a passionate, curious team with deep consulting expertise, working together to help organisations across Australia continuously evolve. We value collaboration, knowledge-sharing and people are curious, take ownership and care deeply about the impact of their work for customers, colleagues and the wider community.
Benefits and ways of working
- $2,500 annual technology allowance to choose the tools and setup that work best for you.
- Strong learning and development culture, including $2,000 per year for professional courses and two paid days off to attend courses and exams.
- Support of the Cevo Hive Mind – a collaborative team that helps each other succeed.
- We reward and recognise achievements and contributions.
- An exciting start-up vibe, with enterprise-level projects and customers.
Additional information
- We are an equal opportunity employer and welcome all applications, particularly from underrepresented groups.
- At this stage, we can only consider candidates with unrestricted local working rights.
- We don’t require assistance from recruitment agencies.
Skills Required
- 6+ years in data engineering, data architecture, or data consultancy
- Hands-on experience with AWS (S3, Glue, Redshift, Athena, RDS, Lambda, IAM, CloudWatch, Lake Formation, Kinesis)
- Proficiency with Databricks (Delta Lake, MLflow, Unity Catalog) or Snowflake (warehouses, stages, Snowpipe, Snowpark)
- Solid SQL skills and ability to optimise complex queries across distributed systems
- Experience with Python or Scala for data processing and automation
- Familiarity with data modelling concepts (star/snowflake schemas, medallion architecture, data vault)
- Exposure to orchestration tools (Apache Airflow, AWS Step Functions, or Prefect)
- Strong communication skills; able to present technical solutions to non-technical stakeholders
- Experience working in agile or scrum delivery environments
- AWS certifications (e.g., AWS Certified Data Engineer, AWS Solutions Architect)
- Databricks or Snowflake professional certification (Databricks Certified, SnowPro Core/Advanced)
- Experience with dbt for transformation pipelines
- Knowledge of data governance frameworks/tools (Apache Atlas, AWS Glue Data Catalog, Alation)
- Exposure to streaming and real-time architectures (Kafka, Kinesis, Spark Streaming)
- Previous consulting or client-facing delivery experience
- Familiarity with BI/visualisation tools (Tableau, Power BI, QuickSight)
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The Company
What We Do
Cevo is a technology consultancy that helps organizations build lasting capabilities in cloud, data, and AI. They focus on modernizing platforms, automating delivery, and empowering teams to innovate continuously. By embedding AI into their delivery processes, they help clients move from pilots to production-ready systems, ensuring that transformation becomes a habit rather than a one-off project.
