Principal Data Architect
Posted on 11/30/2023
INACTIVE
Thoughtworks

10,001+ employees

Global technology consultancy driving digital innovation
Company Overview
Thoughtworks stands out as a global technology consultancy with a rich history of over 28 years, offering a unique blend of strategy, design, and engineering to drive digital innovation. The company's culture fosters learning and growth, bringing together a diverse mix of technologists, from fresh computer science graduates to experienced professionals and self-taught developers, creating an environment that encourages mutual learning and challenge. With a proven track record in creating adaptable technology platforms, designing top-tier digital products, and harnessing data and AI, Thoughtworks has consistently demonstrated industry leadership and a competitive edge.
Consumer Software
Consulting
Fintech

Company Stage

Private

Total Funding

$748M

Founded

1993

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

-1%

1 year growth

-6%

2 year growth

6%
Locations
Newcastle upon Tyne, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Power BI
Microsoft Azure
Apache Spark
Apache Kafka
Tableau
AWS
Hadoop
Data Analysis
Google Cloud Platform
CategoriesNew
Data & Analytics
Requirements
  • Experience in providing advisory and consultative guidance for clients and cross-delivery teams
  • Track record in demonstrating innovation and expertise in data architectures, technology alternatives, data strategy, governance, security, and other data-related concerns
  • Experience in utilizing data-driven solutions with a deep understanding of data modeling and experience with tools/platforms like Kafka, Spark, Hadoop, and more
  • Experience in developing real-time and low-latency data streaming solutions
  • Track record of ensuring proper data governance policies, including data lineage, quality checks, and classification
  • Experience with productionizing machine learning models and applying data security strategy to solve business problems
  • Excitement about data infrastructure and operations, with familiarity working in cloud environments
  • Strong problem-solving and consulting skills
  • Track record with stakeholder management, fostering collaboration between clients and key stakeholders
  • Resilience in ambiguous situations, adapting roles to address challenges from multiple perspectives
  • Enjoyment of coaching, mentoring, and motivating others while promoting technical excellence and openness to change
  • Track record of proven leadership, encouraging professional development and building strong partnerships
  • Expertise in one of the specific domains, such as automotive, healthcare, retail, life sciences, financial services, or public sector
Responsibilities
  • Consult on complex data programs, synchronizing cross-cutting data architectural concerns
  • Provide client-facing technical leadership and guidance on topics related to data architecture, engineering, and analytics to advise clients on bringing their data strategy to life
  • Lead and interact with clients across various domains, addressing a spectrum of challenging problems
  • Collaborate with diverse teams engaged in the program, connecting their work with the broader data strategy
  • Ensure effective communication and alignment between architects, engineers, decision-makers, and business stakeholders
  • Communicate both high-level and low-level technical details of data architecture to engineers and business stakeholders
  • Be responsible for data governance, data security, and data privacy to support business and compliance requirements
  • Seamlessly incorporate data quality into day-to-day work and the delivery process
  • Develop your career outside traditional paths by focusing on your passion rather than a predetermined one-size-fits-all plan
  • Represent Thoughtworks in various online and offline forums, including events and conferences
Desired Qualifications
  • Experience in machine learning and AI technologies
  • Knowledge of cloud platforms such as AWS, Azure, or GCP
  • Certifications in relevant data and cloud technologies
  • Experience with data visualization tools such as Tableau or Power BI