Principal Data Solution Architect

Formula.

Greater London

On-site

GBP 120,000 - 160,000

Full time

9 days ago
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Benefits offered by this job

Enhanced pension
Private healthcare
Life insurance & income protection
Self-development fund £1,000
Enhanced parental leave

Job summary

Global Tech is seeking a Principal Data Solution Architect to design and deliver distributed data platforms at scale for real-time digital experiences. You will architect streaming rails, data stores, and cloud-native solutions while collaborating with engineering teams to ensure scalable, compliant outcomes.

The role requires hands-on expertise with Spark, Databricks, Cassandra, and OLTP databases, with a focus on performance, security, and cost efficiency at high volumes.

Qualifications

  • Extensive experience designing and implementing distributed data platforms at scale.
  • Proven track record architecting real-time, low-latency streaming platforms and event-driven architectures.
  • Strong hands-on experience with Apache Spark and Databricks, including performance tuning at scale.
  • Experience with Cassandra or similar distributed databases, including partitioning, consistency models, and optimisation.
  • Solid experience with OLTP databases such as PostgreSQL or MySQL.
  • Cloud-native delivery experience on AWS, GCP, or Azure.
  • Experience delivering platforms in high-volume B2C environments at real scale.
  • Track record delivering compliant data solutions in regulated environments such as PCI, SOX, or HIPAA.
  • Experience productionising ML/AI capabilities including feature stores, training pipelines, and model serving.

Responsibilities

  • Design and deliver distributed data platforms at scale, covering real-time streaming infrastructure, distributed compute, object storage, and SQL/NoSQL data stores.
  • Architect real-time streaming solutions using Kafka and Pulsar, ensuring low-latency data delivery to downstream applications.
  • Design data structures for distributed systems including Cassandra, optimising for read/write patterns, scalability, and performance.
  • Deliver cloud-native solutions on AWS, leveraging Databricks, S3, and distributed compute frameworks.
  • Work closely with application and engineering teams to understand data access patterns and translate them into scalable platform solutions.
  • Produce ADRs, data models, and technical designs that support delivery of business goals.
  • Create pragmatic technology roadmaps balancing near-term delivery with longer-term target state architecture.
  • Mentor engineers and architects on distributed data platform patterns.
  • Design with security, cost optimisation, performance, and regulatory compliance in mind throughout.

Skills

Distributed data
Real-time streaming
Architecture design
Apache Spark
Databricks
Cassandra
PostgreSQL
MySQL
Cloud: AWS/GCP/Azure
High-volume B2C
Regulatory compliance
ML/AI pipelines
Mentoring
Security & cost optimisation

Tools

Apache Spark
Databricks
Cassandra
PostgreSQL
MySQL
AWS
GCP
Azure

Job description

We're working with a large, international technology business whose data platform sits at the core of how they deliver real-time digital experiences to a high-volume global customer base. They're mid-transformation, investing significantly in the distributed data infrastructure that underpins their products and this hire is central to that build.

The organisation is mid-transformation. The Principal Data Solution Architect joining now will design and deliver distributed data platforms from architecture through to production, working directly with application and engineering teams to make sure what gets built will be used.

Responsibilities as a Principal Data Solution Architect:
  • Design and deliver distributed data platforms at scale, covering real-time streaming infrastructure, distributed compute, object storage, and SQL/NoSQL data stores
  • Architect real-time streaming solutions using Kafka and Pulsar, ensuring low-latency data delivery to downstream applications
  • Design data structures for distributed systems including Cassandra, optimising for read/write patterns, scalability, and performance
  • Deliver cloud-native solutions on AWS, leveraging Databricks, S3, and distributed compute frameworks
  • Work closely with application and engineering teams to understand data access patterns and translate them into scalable platform solutions
  • Produce ADRs, data models, and technical designs that support delivery of business goals
  • Create pragmatic technology roadmaps balancing near-term delivery with longer-term target state architecture
  • Mentor engineers and architects on distributed data platform patterns
  • Design with security, cost optimisation, performance, and regulatory compliance in mind throughout
Requirements:
  • Extensive experience designing and implementing distributed data platforms at scale
  • Proven track record architecting real-time, low-latency streaming platforms and event-driven architectures
  • Strong hands-on experience with Apache Spark and Databricks, including performance tuning at scale
  • Experience with Cassandra or similar distributed databases, including partitioning, consistency models, and optimisation
  • Solid experience with OLTP databases such as PostgreSQL or MySQL
  • Cloud-native delivery experience on AWS, GCP, or Azure
  • Experience delivering platforms in high-volume B2C environments at real scale
  • Track record delivering compliant data solutions in regulated environments such as PCI, SOX, or HIPAA
  • Experience productionising ML/AI capabilities including feature stores, training pipelines, and model serving
  • Enhanced pension + private healthcare
  • Life assurance and income protection
  • £1,000 annual self-development learning fund
  • Enhanced parental leave

This is a rare opportunity to own the architecture of a data platform operating at global scale. If you're a Principal Data Solution Architect who wants to build things rather than just advise on them, we'd like to hear from you.

Please note: due to the volume of applications we receive, we may not be able to respond to every applicant individually. If you haven't heard from us within two weeks, please assume your application has not been successful on this occasion.

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