Principal Cloud Consultant - Melbourne, Australia - Sourced Group, an Amdocs Company

Description

Sourced is a global cloud consultancy that helps enterprises make the most of cloud services with a focus on security, governance and compliance.

With offices around the globe, we provide professional services for securing, migrating and managing the cloud infrastructure of large enterprise customers.

We specialize in configuration management, automation, cloud computing, security and data management for a wide range of industries, including financial services, media, and telecommunications companies.

By utilising our proven deployment frameworks, managed services, and trusted design patterns, we work with the largest and most security conscious organisations to unlock innovation through cloud computing.

As market leaders in Enterprise Cloud Transformation, we have top tier partner status with major cloud platform providers including AWS, Google and Microsoft Azure.

Sourced has recently joined the Amdocs Cloud Business Unit to accelerate innovation and amplify our delivery of professional services.

Amdocs provides software and services to more than 350 communication and media providers in over 80 countries, has more than 40 years of industry experience and welcomes Sourced to its team of 26,000 employees.

Sourced Values - Integrity, Innovation, Service, Quality, Humility, Sustainability

As part of a new practice and vertical in our ANZ region, this role requires a senior technical leader to define and implement end-to-end Advanced Analytics, Data Modernisation and Machine Learning solutions.

What you'll be responsible for:


Consulting Excellence

• Lead a team of Sourced Data Analytics Consultants; develop strategy and execution plans for customer engagements with both global and regional impact.
• Build and nurture deep working relationships with internal and external stakeholders, as well as their counterparts in our clients and partners.
• Have delivered data management / information management strategies integrating technology, people & process and methodology roadmaps
• Articulating a position on a topic to influence significant global decisions within either Sourced Group or a client.
• Be a trusted adviser for our enterprise clients and excel at all aspects of business development, people management, relationship development, delivery of cloud solutions and program management in their accounts.
• Bring a deep technical expertise and can consult effectively at all levels of an enterprise organisation (CDO, CMO, Head of Compliance etc).
• Ability to influence at scale 1:many.

Technical Solutioning and Data Engineering

• Build production grade endtoend analytics solution to solve business challenges together with Data Engineering, Data Scientists and business teams.
• Creation of repeatable reference architectures for various analytics use cases.
• Monitor and evolve data analytics platforms to support business driven use cases and new consumption patterns.

Thought Leadership

• Be our Data Analytics brand evangelist and thought leader; speak at regional conferences, write White Papers and present case studies at technology events.
• Educate the broader Sourced and Amdocs teams in monthly data analytics community calls.
• Awareness and curiosity in the rapid evolution of GenAI and how this might be applied in various industries and use cases

What you will bring to the role:

• 5 to 10 years of experience in industry (ideally banking, ecommerce, telecoms, retail, and consulting) with demonstrated track record of leveraging advanced analytics to achieve business impact.
• Data Analytics and modernisation expertise using big data technology onpremises and/or with leading cloud providers.
• Strong facilitation skills with demonstrated experience leading scoping and design sessions.
• A track record of facilitating the exploration of new ideas and leading innovation among teams.
• Solid understanding of data modelling at conceptual logical and physical levels; understanding the performance, storage and cost implications of data modelling decisions in various environments (RDBMS, data lake, possibly also graph and noSQL databases)
• At least 23 years of handson experience in data science and machine learning.
• Excellent understanding of software & data engineering principles and design patterns.
• Familiarity with tools such as Anaconda, Jupyter, Eclipse, Jira, Git, SVN, Jenkins, etc
• Programming skills in one or more of: Python (Pandas, SciPy, NumPy, PySpark, etc), Scala, Java, SQL, Shell Script
• Experience with traditional data analytics technologies (RDBMS, data warehouse, data lake), and / or cloud based analytics services (Amazon Kinesis, AWS EMR, AWS Glue, Azure Data Factory etc) and structured (SQL).
• Familiar with industry paradigms and standards for model development, validation and testing and have developed and implemented largescaled machine learning solutions from end to end.
• Strong in problemsolving, being resourceful with end to end critical thinking to