Lead Data Engineer | GCP, BigQuery & DBT at Deloitte Services Pty Ltd | AU | Rezi

Lead Data Engineer | GCP, BigQuery & DBT at Deloitte Services Pty Ltd

Lead Data Engineer | GCP, BigQuery & DBT

Deloitte Services Pty Ltd · AU

2 weeks ago

Lead Data Engineer | GCP, BigQuery & DBT

Deloitte Services Pty Ltd · AU

17 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Lead Data Engineer | GCP, BigQuery & DBT role.

Rezi rewrites your resume against Deloitte Services Pty Ltd's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Lead Data Engineer | GCP, BigQuery & DBT posting at Deloitte Services Pty Ltd — free, in seconds.

About the Role

In this role, you will lead the design and delivery of GCP native data platforms and architecture solutions, working across BigQuery, dbt and Airflow to build enterprise data transformation frameworks. You will help shape cloud data warehouses, ELT pipelines and analytics solutions that are reliable, scalable and easy for teams to use. You will make key architecture decisions, set dbt standards and reusable models, improve testing and deployment practices, and guide teams on SQL, data modelling and modern data architecture patterns. You will also partner with business and technology stakeholders to drive best practice across governance, security, performance and cost optimisation on Google Cloud. You will lead multidisciplinary teams to address clients’ most complex data challenges across data architecture, platform automation, DevOps best practices, CI/CD, data governance, and advanced analytics. You will also be responsible for coaching, developing, and inspiring your team, setting high standards for delivery excellence and technical leadership. Beyond project delivery, you will collaborate with practice and alliance leaders to grow capability and shape Deloitte’s data and AI offerings, including driving community initiatives and contributing to new Deloitte IP and solutions.

Responsibilities

  • Lead the design and delivery of GCP native data platforms and architecture solutions.
  • Build enterprise data transformation frameworks using BigQuery, dbt and Airflow.
  • Shape cloud data warehouses, ELT pipelines and analytics solutions.
  • Make key architecture decisions.
  • Set dbt standards and reusable models.
  • Improve testing and deployment practices.
  • Guide teams on SQL, data modelling and modern data architecture patterns.
  • Partner with business and technology stakeholders to drive best practice across governance, security, performance and cost optimisation on Google Cloud.
  • Lead multidisciplinary teams to address clients’ complex data challenges.
  • Coach, develop, and inspire your team.
  • Set high standards for delivery excellence and technical leadership.
  • Collaborate with practice and alliance leaders to grow capability and shape Deloitte’s data and AI offerings.
  • Drive community initiatives such as technical forums, webinars, hackathons.
  • Contribute to the development of new Deloitte IP and solutions.

Requirements

  • 5+ years’ experience in data architecture, engineering or cloud data platform design.
  • Advanced SQL expertise.
  • Strong hands-on experience in BigQuery and large scale analytical data environments.
  • Proven experience designing and delivering enterprise scale Google Cloud Platform (GCP) data solutions.
  • Deep hands-on experience with dbt, including data modelling, ELT frameworks, testing, documentation, CI/CD integration and analytics engineering best practice.
  • Strong experience using BigQuery, dbt and Airflow to build, automate and optimise cloud native data platforms on GCP.
  • Experience with GCP services including Dataflow, Data Fusion, Cloud Storage, Pub/Sub and Vertex AI.
  • Strong understanding of dimensional modelling, data warehousing principles, Data Mesh, domain oriented architecture and scalable data architecture patterns.
  • Strong Python development skills and experience building scalable data solutions.
  • Experience leading architecture decisions and engaging business and technology stakeholders.
  • Google Cloud certifications such as Professional Cloud Architect or Professional Data Engineer are highly regarded.
  • Exposure to financial services, fund management, fund accounting or private credit is desirable.

Skills

  • GCP native data platforms
  • BigQuery
  • dbt
  • Airflow
  • Cloud data warehouses
  • ELT pipelines
  • Analytics solutions
  • SQL
  • Data modelling
  • Modern data architecture patterns
  • Governance
  • Security
  • Performance optimisation
  • Cost optimisation
  • Google Cloud
  • Platform automation
  • DevOps best practices
  • CI/CD
  • Data governance
  • Advanced analytics
  • Python development

Location

  • Australia

Work Type

  • Flexible working options
  • PlaceFlex to work from select countries

Experience Level

  • 5+ years’ experience in data architecture, engineering or cloud data platform design

Education Level

  • Google Cloud certifications such as Professional Cloud Architect or Professional Data Engineer are highly regarded

Benefits

  • Access to free and confidential coaching for you and your family including wellbeing, financial and nutrition coaching.
  • 18 weeks paid parental leave
  • 12 months return to work support (work 4 days and get paid 5).
  • Retail discounts
  • Wellbeing leave
  • Paid volunteering days
  • Twelve flexible working options

About the Company

  • Our diverse AI & Data team comprises over 500 specialist practitioners across Australia, each of whom are constantly curious and excited about combining their business acumen and technological expertise to create data-centric solutions that help solve complex problems and transform, or reinvent our client’s business.
  • Our Data & AI teamwork with public and private sector clients helping them to design and implement world leading solutions and capabilities.
  • From solving air and ground transport network issues through our industry-first Optimal Reality digital twin solution, bringing automation capabilities to vaccine rollout programs, to helping our clients move to a sustainable world, we are the partner of choice for our clients and our alliance vendors.
  • Our relationships with market leading vendors such as AWS, Databricks, Google, dbt Labs, Snowflake, Salesforce, and Informatica enable our practitioners to be at the forefront of new and emerging capabilities and to deliver our suite of services at scale.
  • We are consistently recognised as leaders in Cloud, Data, Analytics and AI, including in the latest analyst reports.
  • At Deloitte, we focus our energy on interesting and impactful work.
  • We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society.
  • We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.
  • We value in-person connection with our clients and our colleagues.
  • We help you live and work well.

Equal Opportunity

  • We embrace diversity, equity and inclusion.
  • We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles.
  • What binds us together is a shared commitment to value everyone’s perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.
  • By applying for this job, you’ll be assessed against the Deloitte Talent Standards.
  • We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally.
  • The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.