Feeny
Cevo Services

Lead Consultant – Data Intelligence at Cevo Services (Sydney, Australia)

Cevo Services· Sydney, Australia·

Role details

Work type
Hybrid
Employment
Full-Time

Job description

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.

Why work at Cevo Services

  • Culture: Built on knowledge sharing and collaboration. The company hosts "Hive Mind" sessions for employees to share learnings, and emphasizes open-minded feedback as a "cherished gift." Values include insatiable curiosity, freedom to experiment, and a people-first approach.
  • Work model: Flexible hybrid working environment that respects work-life balance.
  • Learning & development: Dedicated learning and development budget, days off per year solely for L&D, unlimited access to a learning platform, and POD leadership programs.
  • Community: Sponsorship of local tech meetups, regular social events, transparent business updates, and a referral bonus program.
  • Wellbeing: Employee Assistance Program (EAP) for mental health support.
  • Recruitment process: Described as a two-way conversation—30-minute chat with People & Culture, a 1-hour technical interview with a technical leader, and a face-to-face session with a senior leadership team member.
  • Employer rating: 4.2/5.0 on LinkedIn (19 reviews), with breakdowns: Work-Life 4.4, Compensation 4.2, Culture 4.1, Career 3.8.
  • Notable perks: Regular social events, transparent communication, and a strong emphasis on celebrating achievements both internally and externally.

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