Who are you?
As a Lead Data Intelligence Consultant at Cevo, you'll need a combination of technical skills, strategic thinking, and effective communication.
Key Responsibilities:
- 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
- Contribute to pre-sales activities
Required Skills & Experience:
- 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)
- 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.
- Demonstrated experience engaging senior stakeholders (Director/VP/C-suite) and translating business strategy into data solutions.
- Strong commercial awareness — able 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.
Desirable Skills & Certifications
- AWS Certified Data Engineer – Associate or Professional, or AWS Solutions Architect – Professional.
- Databricks Certified Professional Data Engineer or Solutions Architect.
- DAG Development: competency writing and maintaining Directed Acyclic Graphs (DAGs) using native Apache Airflow operators
- 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.
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.