Job responsibilities
1. Develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions
2. You will partner with teammates to create complex data processing pipelines in order to solve our clients' most ambitious challenges
3. In some projects, you might be acting as the architect, leading the design of technical solutions, or perhaps overseeing a program inception to build a new data solution
4. You may undertake deep technical reviews or a complete organizational reviews, helping clients to understand the potential that data brings to solve their most pressing problems
5. You will contribute to demand generation and presales activities by meeting with and nurturing relationships with prospective clients, writing about relevant topics for publications, and speaking at events
6. You will pair to write clean code using TDD
7. Leverage various continuous delivery practices to deploy, test, support and operate data pipelines
8. Advise and educate clients on how to use different distributed storage and computing technologies from the plethora of options available
9. Create data models and speak to the tradeoffs of different modeling approaches
10. Seamlessly incorporate data quality into your day-to-day work as well as into the delivery process
11. Assure effective collaboration between Thoughtworks' and the client's teams, encouraging open communication and advocating for shared outcomes
12. You will develop relationships and influence with client stakeholders extending beyond your immediate working relationships
13. You will act as a mentor for less-experienced peers through both your technical knowledge and leadership skills, nurturing and cultivating team members to support their professional development
Job qualifications
Technical Skills
Please note the listed technologies are provide as examples; we don't expect anyone to be across all these technologies. Please apply if you can tick the major boxes and believe you have comparable or transferable experience in other areas.
14. You have experience with a range of data engineering tools, technologies and frameworks that might be composed in end-to-end data solutions. This includes: Core data engineering tools such as SQL and Spark and platforms like Databricks and snowflakeVarious storage technologies from blob storage ( S3) to cloud analytic databases ( BigQuery) to NoSQL databases ( Cassandra, Mongo, Neo4J, etc) and maybe also distributed storage platforms such as HDFSPipeline orchestration and transformation technologies such as Glue, Airflow or dbtStreaming data technologies such as Kafka, Kinesis, Dataflow, or Event HubsSome experience with presentation layer tools such as Superset, PowerBI or TableauIdeally, you have some experience of data science or MLOps tools such as Sagemaker, Dataiku, or MLflow
15. You have experience data modelling and can articulate trade-offs of various approaches
16. You have experience configuring infrastructure for data systems, preferably following infrastructure-as-code practices
17. You have experience building solutions using agile delivery and project management practices
18. You have a track record of innovation and expertise in Data Engineering, and have applied your expertise in a commercial setting across a range of industries and organizations
19. You have a deep understanding of data modelling and experience with data engineering tools and platforms such as Kafka, Spark, Databricks, Hadoop, and cloud providers ( AWS, Azure, GCP)
20. You have built large-scale data pipelines and data-intensive applications in a production setting.
21. You are comfortable taking data-driven approaches and applying data strategy to solve business problems
22. Working with data excites you: you love the challenges and rewards of building and operating data pipelines for business consumers, and maintaining data storage, all within distributed systems
23. You are comfortable working within data governance and information security frameworks and holding conversations with stakeholders about privacy, security and ethics
24. You enjoy influencing others and always advocate for technical excellence while being open to change when needed
Professional Skills
25. Excellent consulting skills, comfortable working in a cross functional team
26. Advocate your data engineering expertise to the broader tech community outside of Thoughtworks, speaking at conferences and acting as a mentor for more junior-level data engineers
27. You're resilient and flexible in ambiguous situations and enjoy solving problems from technical and business perspectives
28. An interest in coaching others, sharing your experience and knowledge with teammates
29. You enjoy influencing others and always advocate for technical excellence while being open to change when needed
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
At time of application you must be an Australian/ New Zealand Citizen or already hold Australian Permanent Residency.
Job Details
Country: Australia
City: Sydney
Date Posted: 04-25-2024
Industry: Information Technology
Employment Type: Regular