Who are you?As a Principal Consultant - Data Intelligence at Cevo, you'll need a combination of technical skills, strategic thinking, and effective communication.

What You'll Do:

- Architect and oversee the implementation of scalable cloud data platforms on AWS using services including S3, Glue, Redshift, Lake Formation, Kinesis, Lambda, and Step Functions.
- Lead solution design and technical governance across Databricks (Delta Lake, Unity Catalog, MLflow) and/or Snowflake (Snowpark, Snowpipe, data sharing, dynamic tables).
- Define data modelling standards and patterns, star/snowflake schemas, medallion/lakehouse architecture, data vault, appropriate to client context.
- Set and enforce engineering best practices: CI/CD for data pipelines, code review standards, testing frameworks, and documentation.
- Oversee data transformation workstreams using dbt, PySpark, or SQL, ensuring quality and maintainability.
- Guide platform and tooling selection decisions, producing clear business cases and technical trade-off analyses for clients.
- Drive data governance, lineage, and cataloguing implementation using tools such as AWS Glue Data Catalog, Unity Catalog, or Collibra.
- Provide architectural oversight on streaming and real-time data use cases (Kafka, Kinesis, Spark Streaming) where applicable.
- Team Leadership & Mentoring
- Taking a leadership role in presales (EOI, RFI, RFP) activities, presenting solutions to our clients and answering questions in a pre sales environment

What You'll Bring:

- 7–10+ years in data engineering, data architecture, or analytics roles, with at least 3 years in a consulting or professional services environment.




- Proven track record of leading complex data platform deliveries end-to-end, with full accountability for outcomes.
- Deep hands-on AWS expertise: S3, Glue, Redshift, Athena, Lake Formation, Lambda, Kinesis, IAM, CloudWatch.
- Advanced proficiency in Databricks (Delta Lake, Unity Catalog, Spark optimisation) and/or Snowflake (Snowpark, performance tuning, data sharing).
- Strong Python and/or Scala development skills for data engineering workloads at scale.
- Expert-level SQL with experience in query optimisation across distributed systems.
- Experience with dbt for transformation pipelines in production environments.
- Demonstrable experience engaging senior stakeholders (Director/VP/C-suite) and translating business strategy into data solutions.
- Strong commercial awareness: ability to manage budgets, write proposals, and contribute to practice growth.
- Excellent written and verbal communication skills; confident presenting to both technical and executive audiences.
- Experience mentoring or leading small technical teams in a delivery context.
- Previous Consulting experience within enterprise environments including pre sales

Desirable Skills & Certifications· AWS Certified Data Engineer – Associate or Qualified, or AWS Solutions Architect – Professional.· Databricks Certified Professional Data Engineer or Solutions Architect.· SnowPro Advanced: Architect or Data Engineer certification.· Exposure to data mesh, data products, or federated governance operating models.· Familiarity with enterprise data governance platforms (Collibra, Alation, Atlan).· Experience with ML platform components (SageMaker, MLflow, Feature Store).· Knowledge of BI/visualisation tools: Tableau, Power BI, or AWS QuickSight.

📌 Principal Consultant – Data Intelligence (Sydney)
🏢 Cevo Services
📍 Sydney