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Job Requisition ID: [[id]] 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). International PlaceFlex to work from select countries for a period. What will your typical day look like? As a Senior Specialist Lead (Senior Manager) – Data Architect within our AI & Data team , you’ll combine deep technical expertise with strong consulting skills to design, deliver, and optimise complex, large-scale data pipelines and platforms for our clients. You will play a critical role in shaping next-generation, cloud-native data solutions leveraging leading AWS and data/AI technologies. You will lead multidisciplinary teams to address our clients’ most complex data challenges across data architecture, platform automation, DevOps best practices, CI/CD, data governance, and advanced analytics. Your responsibilities will include: Designing and delivering scalable, secure AWS data platforms using services such as Glue, Redshift, Athena, RDS, Lambda, MSK (Kafka), Managed Flink, SageMaker, Airflow, and dbt. Embedding DevOps best practices including automation, infrastructure as code, CI/CD, and platform monitoring. Partnering with Solution Architects and stakeholders to translate business and platform requirements into fit for purpose technical solutions. Driving automation and platform optimisation to improve scalability, reliability, and cost efficiency. Building ETL/ELT pipelines using SQL, Python, and big data technologies across diverse, high volume data sources. Delivering data modelling, analytics, and AI/ML solutions to support batch and real time insights. Supporting data governance initiatives across data quality, security, testing, and compliance. Applying strong software engineering practices to modern data platform development. Advising clients on data integration, platform, and data quality challenges using best practice approaches. You’ll also be responsible for coaching, developing, and inspiring your team, setting high standards for delivery excellence and technical leadership. Beyond project delivery, you’ll collaborate with practice and alliance leaders to grow our capability and shape Deloitte’s data and AI offerings. This includes driving community initiatives such as technical forums, webinars, hackathons, and contributing to the development of new Deloitte IP and solutions. About the team: 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. E nough about us, let’s talk about you. You are someone with: A minimum of 8 years of experience in large-scale data transformation, solution delivery and project management experience in a professional services environment. Excellent verbal and written communication skills to adapt to technical and non-technical audiences. Experience working with a structured project delivery environment will be highly regarded. Experience with designing and building ETL/ELT frameworks using metadata-driven approach, big data processing frameworks such as spark, storm & flink, data pipeline design and development. Experience design and building real-time streaming data pipelines using Kafka, knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Solid experience with data modelling, data warehouse design and data lake concepts and practices.Experience leading or managing teams and change initiatives. Experience of building production-grade cloud solutions (AWS, Databricks, Snowflake, GCP). Must be AWS Certified Solutions Architect (“Associate” minimum, “Professional” preferred) Why Deloitte? 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 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. We value in-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities. We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits , including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package. Next Steps Sound like the sort of role for you? Apply now, we’d love to hear from you! 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.