Posted on 
Dec 18, 2023

US - Principal Data Solutions Consultant - Presales

Mid-Senior ICs
Data Science + Analytics
Sourced Group
Sourced Group
Sourced Group
Private
251-1000
Software, Security & Developer Tools

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.

Job Description

About the Role 

The Principal Data Solutions Consultant role is a technical pre-sales role supporting sales for the Sourced Group Professional Services Organisation. This role is responsible for achieving and growing the global revenue target for the Data & Intelligence service line in partnership with the Cloud Sales and the broader Sales teams (CBE). The role serves as the technical authority during presales for the service line and its regional implementation.   

What you’ll be responsible for: 

  • Working closely with delivery leads and client teams to fully demonstrate the benefits of cloud and data solutions as they relate to the financial services industry
  • Defining and implementing cloud-based data solutions in line with industry best practices and enterprise architecture guidelines
  • Partnering with Hyperscale partners, and internal account teams to develop solutions to address the client needs
  • Supporting the sales organization with technical presales and acting as a  Data subject matter expert
  • Understanding client roadmaps and aligning the technology options along with executive level presentation
  • Developing innovative service offerings for clients and supporting “go to market” activities
  • Technical Solutioning and Data Engineering:

+ Apply cutting edge technologies and tools in big data, data analytics and business intelligence to build, manage and automate pipelines for data pipelines and analytics platforms in cloud environments.

+ Build production grade end-to-end 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.

+ Study and evaluate the state-of-the-art and emerging technologies such as cloud based optimized computing clusters, serverless data processing, and frameworks of data engineering, and establish, apply and maintain best practices and principles of data processing and analytics.

+ Monitor and evolve data analytics platforms to support business driven use cases and new consumption patterns.

What you will bring to the role: 

  • 5 to 10 years of experience with demonstrated track record of leveraging advanced analytics to achieve business impact.
  • Data Analytics and modernisation expertise using big data technology on-premises 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)
  • Excellent understanding of software & data engineering principles and design patterns.
  • Familiarity with tools such as Anaconda, Jupyter, Eclipse, Jira, Git, SVN, Jenkins, etc
  • Experience with traditional data analytics technologies (RDBMS, data warehouse, data lake), and / or cloud based analytics services (Snowflake, Databricks, Amazon Kinesis, AWS EMR, AWS Glue, Azure Data Factory etc) and structured (SQL).
  • Demonstrated interest in learning about Data Governance, Data Catalogues, data management in compliance with industry standards (eg CPG235) through own initiatives
  • Keeping abreast of industry developments in cloud, databases, analytics, data science, AI/ML and GenAI, with the ability to form an opinion in order to provide value and meaningful guidance to customers.
  • Experience in technical writing as well as preparing and presenting technical material (SOW’s, BOM, RFI’s etc) to a variety of audiences
  • Professional and/or Specialty level AWS/Azure/GCP certifications
  • Experience working in the Banking & Financial Services sector
  • Bachelor’s degree in Engineering, Information Technology, Computer Science or a related field

About the Role 

The Principal Data Solutions Consultant role is a technical pre-sales role supporting sales for the Sourced Group Professional Services Organisation. This role is responsible for achieving and growing the global revenue target for the Data & Intelligence service line in partnership with the Cloud Sales and the broader Sales team(CBE). The role serves as the technical authority during presales for the service line and its regional implementation.   

What you’ll be responsible for:  

  • Working closely with delivery leads and client teams to fully demonstrate the benefits of cloud and data solutions as they relate to the financial services industry
  • Defining and implementing cloud-based data solutions in line with industry best practices and enterprise architecture guidelines   
  • Partnering with Hyperscale partners, and internal account teams to develop solutions to address the client needs
  • Supporting the sales organization with technical presales and acting as a  Data subject matter expert
  • Understanding client roadmaps and aligning the technology options along with executive level presentation
  • Developing innovative service offerings for clients and supporting “go to market” activities
  • Technical Solutioning and Data Engineering:
    • Apply cutting edge technologies and tools in big data, data analytics and business intelligence to build, manage and automate pipelines for data pipelines and analytics platforms in cloud environments. 
    • Build production grade end-to-end 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. 
    • Study and evaluate the state-of-the-art and emerging technologies such as cloud based optimized computing clusters, serverless data processing, and frameworks of data engineering, and establish, apply and maintain best practices and principles of data processing and analytics. 
    • Monitor and evolve data analytics platforms to support business driven use cases and new consumption patterns. 

What you will bring to the role:  

  • 5 to 10 years of experience with demonstrated track record of leveraging advanced analytics to achieve business impact.
  • Data Analytics and modernisation expertise using big data technology on-premises 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)
  • Excellent understanding of software & data engineering principles and design patterns.
  • Familiarity with tools such as Anaconda, Jupyter, Eclipse, Jira, Git, SVN, Jenkins, etc
  • Experience with traditional data analytics technologies (RDBMS, data warehouse, data lake), and / or cloud based analytics services (Snowflake, Databricks, Amazon Kinesis, AWS EMR, AWS Glue, Azure Data Factory etc) and structured (SQL).
  • Demonstrated interest in learning about Data Governance, Data Catalogues, data management in compliance with industry standards (eg CPG235) through own initiatives
  • Keeping abreast of industry developments in cloud, databases, analytics, data science, AI/ML and GenAI, with the ability to form an opinion in order to provide value and meaningful guidance to customers.
  • Experience in technical writing as well as preparing and presenting technical material (SOW’s, BOM, RFI’s etc) to a variety of audiences
  • Professional and/or Specialty level AWS/Azure/GCP certifications
  • Experience working in the Banking & Financial Services sector
  • Bachelor’s degree in Engineering, Information Technology, Computer Science or a related field
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Data Science + Analytics
Data Science + Analytics
In-Person
In-Person