Job Description

At Contino, we're experiencing incredible growth in our APAC region! We partner with the world's leading brands to accelerate innovation through the successful adoption of Enterprise DevOps, Cloud Native Computing and Data Platforms. Contino are leading Hashicorp, Kubernetes and AWS Premier partners.


We've built an amazing team of passionate technologists and are an advocate for challenging intelligent and talented people, like you! You’d be working with a team of fun, professional and passionate people with a keen eye for innovation, curiosity and a love of technology.


As a Technical Principal, your role would be key in how we help customers to adopt and operate our recommendations, ultimately “transforming” their business in a positive way. You understand what our customers are going through and how to leverage customer data as a critical enabler of business transformation. As a trusted advisor and positive influencer, you will work with various technical and non-technical stakeholders at all levels and help lead engineers throughout the delivery process, both with our customers and within Contino.


We want you to have been through a few wars, challenges, and pitfalls. You’re able to show us how you’ve overcome and made those challenges successful or moved them forward in a positive way.


You're a Strong Communicator

  • Strong communication skills, including slide pack creation, at all levels to provide an interface to senior technology leadership (I.e. CIO/CTO/CDO, Enterprise Architecture, Data Governance/Security/Infra/Solution Architecture, Head of Technology and General Management roles).

You're a Trusted Strategic Advisor

  • You have the ability to quickly build relationships and trust with clients, starting from the initial pre-sales conversations into delivery.
  • You understand and have the empathy for technology transformation, including the impact, effort, and architectural requirements for a business to adopt our recommendations.

You provide Technical Team Leadership

  • You're accountable for the engineering solution that we're delivering to our customers, ensuring high quality engineering standards are delivered and maintained on the engagement.
  • You're experienced in Agile delivery models and how to apply them successfully in delivery.

You are responsible for Solution Design / Architecture

  • You have the ability to design/architect modern solutions in large complex enterprise environments and have a deep understanding of Data, Cloud and Software Engineering.
  • You're able to speak the language of different Data architecture roles, i.e. Cloud-native data platform, data security, data architecture and be able to create views, documents as required in those areas.

Requirements

Experience

  • 8+ years consulting experience in Data Engineering (minimum 4 years experience in Big Data platforms is required);
  • 4+ years consulting experience in Data Analysis and/or Data Science is highly regarded;
  • 6+ years leadership experience, leading delivery/projects and being accountable for people
  • 8+ years experience working in large complex enterprise environments
  • 12+ years experience in Technology
  • We want you to have been through a few wars, challenges, and pitfalls and show how you were able to overcome and make those challenges successful, or have a positive way forward.


Technical Skills

High level breadth across all areas, with depth in many of the following:

  • Data Architecture – Master Data Management, Metadata Management, Data Modelling and Data Enrichment. Any experience with taxonomy, ontology, business classification, KDD and knowledge of DAMA-DMBOK2 will be highly regarded
  • Data Processing – Cloud-native data pipeline architecture, design, workflow management and implementation experience, Distributed processing experience across batch and real-time (e.g.; AWS Kinesis, Spark, Hadoop, EMR), message queuing, data quality assurance and data validation experience
  • Data Transformation – Cloud-native ETL and ELT tools and scripting experience, ability to design and implement data contracts with schema evolution
  • Data Storage – Experience with Cloud-native data lake and data warehouse design and implementation, including cloud-native NoSQL and relational database technologies
  • Data Visualisation - Experience with both traditional and modern Cloud-native data visualisation tools. Experience in the successful delivery of self-service analytics projects will be highly re
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