Principal Consultant Data and Insights

Who are we? Cevo is a trusted leader in technology delivery on the AWS platform. Established in 2016, we are a Premier AWS Consulting Partner, headquartered in Melbourne, with offices in Sydney, Brisbane and Canberra. Work options: Hybrid. We empower our customers to simplify cloud adoption and accelerate digital transformation by leveraging emerging technologies, modern productivity tools and cloud native platforms. Drawing on experience across diverse projects and customers, our consultants enable organisations to innovate through modernisation, data and artificial intelligence and advisory services, underpinned by AWS best practice. Our AWS specialisation and expertise has helped more than 200 organisations stay competitive in a dynamic environment, ranging across start‑ups, commercial, enterprise and government customers. We are a diverse team of people with a shared passion for helping our customers move faster with confidence. Our skilled consultants are curious, passionate and committed to enabling our customers to efficiently navigate the complexities of cloud adoption by delivering tailored, innovative and reliable solutions. Who are you? 10+ years in a hands‑on role in the data and technology industry Experience in data architecture and solution design for modern data platforms Previous Consulting experience within enterprise environments 2+ years’ experience in a senior hands‑on data engineering role, leading technical teams You hold at least one of these AWS Certifications AWS Certified Solutions Architect – Professional AWS Certified Machine Learning – Specialty AWS Certified Data Analytics – Specialty AWS Certified Database – Specialty Plus; Snowflake SnowPro or Databricks Lakehouse (beneficial) Technical Skills Desired and beneficial skills include: AWS Expertise Proficiency in AWS data, analytics, and AI/ML services such as Amazon S3, Redshift, SageMaker, Glue, Bedrock and Amazon Q. Hands‑on experience with designing and implementing large‑scale, distributed data platforms and AI/ML models on AWS. Data Engineering and Architecture Strong background in data engineering, including ETL processes, data warehousing, and data lakes. Experience with data architecture, ensuring data quality, governance, and security. Knowledge around large‑scale Data Migrations. Machine Learning and AI Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) and their integration with AWS services. Ability to build, train, and deploy machine learning models on AWS. Business Acumen Strategic and Analytical Skills Ability to connect data, analytics, and AI solutions to measurable business outcomes. Experience in developing data strategies that align with business goals. Problem‑Solving Strong analytical skills to identify and solve complex data‑related problems. Ability to design scalable and cost‑effective solutions. Customer Engagement Excellent communication skills to interact with various stakeholders, including data engineers, data scientists, analysts, and business leaders. Experience in conducting training sessions, deep architectural discussions, and cloud acceleration programmes. Thought Leadership Ability to educate customers on best practices around advanced data, analytics, and AI solutions on AWS. Experience in authoring customer‑facing content like whitepapers and blog posts. Presales Taking a leadership role in presales (EOI, RFI, RFP) activities, presenting solutions to our clients and answering questions in a pre‑sales environment. Benefits Company perks including a technology allowance of $2,500. Strong learning and development culture – $2,000 per year to spend on professional courses plus 2 paid days off to attend course and exams. The support of the Cevo hive, helping each other to succeed. We reward and recognise achievements. Exciting start‑up vibe with enterprise‑level projects and clients. Please note, that to apply you need full working rights in Australia. No agencies please. Referrals increase your chances of interviewing at Cevo Australia by 2x. #J-18808-Ljbffr