Technical Architect, Data and Analytics

Company:  Forrester
Location: Cambridge
Closing Date: 03/11/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Technical Architect, Data and Analytics

At Forrester, we’re trusted to work on trailblazing, mission critical problems that business and technology leaders face today. That’s why we’re always looking to empower talented individuals to perform at their best every single day. We’re proud of our community of smart people and vibrant voices who come together to do what’s right by our clients and each other. Our success is driven by curiosity, courage and customer obsession. The confidence and drive to be bold at work. Join us and build an extraordinary future.

About This Role:

The Analytics Architect role at Forrester is to work with team members from across the organization on a variety of projects touching data lakehouse, CRM, and analytics systems. This exceptional candidate must be able to contribute to the definition of requirements and convert them into a high-performing, scalable architecture. This individual will be a part of the architecture team and work hands-on with seasoned developers to make these designs a reality.

Job Description:

  • Provide technical design and guidance for the development team. Collaborate with business stakeholders and developers to solve business problems.
  • Design and develop data pipelines and ETL processes to ingest and transform data.
  • Design and develop end-to-end analytics solutions using big data batch and stream processing frameworks (e.g., Spark Structured Streaming, Kafka, etc.) and large language models (LLMs).
  • Build and train machine learning models and utilize large language models.
  • Help mentor and train team members on best practices and architectural patterns.
  • Integrate with RESTful web services to acquire data and provide access to analytics services.
  • Design and develop retrieval-augmented generation (RAG) applications that query structured data through text-to-SQL.

Job Requirements:

  • A bachelor’s degree in computer science or an equivalent technical field is desired.
  • Databricks Certified Data Engineer Professional or equivalent hands-on experience.
  • Five-plus years of programming experience with Python and SQL.
  • Five-plus years of experience with Apache Spark for data processing.
  • Five-plus years of experience building large-scale data pipelines with Apache Kafka and Spark stream processing.
  • Three-plus years of professional experience in a big data environment.
  • Three-plus years of hands-on experience with data modeling and performance tuning on Cassandra or other NoSQL database environment.
  • Hands-on experience developing genAI applications with frameworks such as LangChain and LangGraph.
  • Experience in designing and developing REST API integrations.
  • Experience with AWS architecture and employing services like Lambda functions, Athena, and S3.
  • Experience with the Databricks platform is a plus.
  • Strong problem-solving skills, including troubleshooting production systems.
  • Agile development experience and an understanding of how the architecture role succeeds in that process.
  • Solid communication and negotiation skills and the ability to express complex technical issues to a diverse audience (technical and nontechnical).

We’re a network of knowledge and experience leading to richer, fuller careers. Here, we’re always learning. Whether you want to hone your strengths or discover new ones, Forrester is the place to go for it. It’s a place where everyone is given the tools, support, and runway they need to go far. We’ll be right there beside you, every step of the way.

Let’s be bold, together.

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FLSA Status: Exempt

Here at Forrester, we welcome people from all backgrounds and perspectives. Our aim is for all candidates to be able to fully participate in Forrester’s recruitment process. If you would like to discuss a reasonable accommodation, please reach out to

Forrester Research, Inc. is an Equal Opportunity/Affirmative Action Employer that is committed to equal employment opportunity for all qualified individuals without regard to race, color, religion, national origin, ancestry, sex, age, disability, sexual orientation, gender identity and expression, marital status, genetic information, military service, veteran status, or any other status protected by applicable law. Minorities, Women, Individuals with Disabilities, and Veterans are especially encouraged to apply.

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