CACI on cord

CACI

Senior Technical Consultant

External position
London, UK
Hiring internally for CACI?
Posted
4 weeks ago
Checked
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1 hour ago

Skills & Experience

Job roles: Data Architect
Experience level: Senior
Core skills considered: Snowflake, Databricks, Cloud Computing, Data Architecture, Data Modeling
Other skills considered: Data Pipelines, Security and Compliance, Python, SQL

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

As a Data Architect at CACI Information Intelligence Group, you will join a community of dedicated engineers delivering cutting-edge data solutions for our public sector customers across Central Government, Defence, National Security, Critical National Infrastructure and Law Enforcement.

This role is focused on architecting and delivering modern cloud data platforms, with particular emphasis on Snowflake and/or Databricks. You will work directly with customers to design, assess, optimise, and modernise enterprise data ecosystems, ensuring they are scalable, secure, cost-effective and aligned with industry best practices.

You will act as a trusted technical advisor, leading the architecture of data platforms that enable advanced analytics, AI/ML workloads, data sharing, and operational reporting. Working across the full project lifecycle, you will define target-state architectures, data models, governance frameworks, and integration patterns, whilst ensuring alignment with security, compliance and operational requirements.

As a Data Architect, continuous professional development is a key part of your growth. You will be expected to maintain deep expertise in modern data technologies, particularly Snowflake and Databricks, and help shape both customer and internal data strategies.


Responsibilities

  • Platform Architecture Leadership: Act as the lead architect for Snowflake and Databricks-based data platforms, defining architecture roadmaps and ensuring alignment to customer business objectives.
  • Snowflake Architecture: Design and optimise Snowflake environments, including data sharing, secure data access, data warehouse design, performance tuning, governance, and cost optimisation.
  • Databricks Architecture: Design and implement Databricks lakehouse architectures, supporting large-scale data engineering, streaming, analytics, AI, and machine learning workloads.
  • Assessment & Modernisation: Evaluate existing data estates and develop migration strategies to modern cloud data platforms, including Snowflake and Databricks.
  • Data Modelling & Design: Develop enterprise data models, Lakehouse architectures, medallion data architectures, and data platform standards.
  • Integration & Engineering: Define scalable patterns for data ingestion, transformation, orchestration, and integration across cloud and hybrid environments.
  • Collaboration: Partner with data engineers, analysts, cloud architects, security teams, and customer stakeholders to deliver high-quality data solutions.
  • Governance & Security: Establish and enforce governance frameworks covering data quality, lineage, metadata management, access controls, and regulatory compliance.
  • Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation.
  • Future Technology: Guide customers on emerging technologies including AI, ML, GenAI, and advanced analytics leveraging Snowflake and Databricks capabilities.
  • Cloud Experience: Proven experience in multi-cloud architecture across AWS and Azure, designing and integrating modern data solutions with cloud-native services to deliver scalable, secure, and business-aligned outcomes.

Requirements

  • Strong understanding of modern data platform architecture, including Snowflake Data Cloud and/or Databricks Lakehouse Platform.
  • Strong knowledge of cloud-native data architectures across Azure and AWS.
  • Strong understanding of data governance, security, metadata management, and data lifecycle management.
  • Understanding of AI/ML data requirements and modern analytics platforms.
  • Knowledge of big data processing frameworks and distributed computing concepts.
  • Awareness of emerging capabilities in data sharing, data products, and data mesh architectures.
  • Proven experience as a Data Architect delivering enterprise-scale cloud data platforms.
  • Significant hands-on experience designing and implementing solutions using Snowflake and/or Databricks.
  • Experience architecting lakehouse, data warehouse, and hybrid analytical platforms.
  • Experience defining migration strategies from legacy data platforms to Snowflake or Databricks.
  • Proven expertise in data modelling, interoperability standards, and enterprise integration patterns.
  • Experience implementing data governance, lineage, security, and compliance controls within modern data platforms.
  • Experience leading architecture decisions across complex stakeholder environments.
  • Strong understanding of data pipelines, ETL/ELT frameworks, orchestration tooling, and data engineering best practices.
  • Familiarity with technologies such as Spark, Python, SQL, Delta Lake, Unity Catalog, dbt, Azure Data Factory, Airflow, Kafka, or equivalent tooling.
  • Relevant certifications such as Snowflake SnowPro, Databricks Certified Data Engineer, or cloud platform certifications would be an advantage.
  • Strong communication, consulting, and stakeholder management skills.
  • Ability to influence senior technical and non-technical audiences on data platform strategy.
  • Experienced in developing design documentation and option papers, guiding solutions through formal governance processes, and presenting proposals to architecture and governance boards (including TDAs) to secure approval and alignment.
  • Strong analytical and problem-solving capabilities.
  • Ability to translate business requirements into scalable Snowflake and Databricks architectural solutions.
  • Passion for promoting data as a strategic asset and enabling data-driven decision making.
  • Ability to mentor engineers and architects while contributing to technical leadership within delivery teams.
  • Experience balancing performance, security, scalability, and cost optimisation within cloud data platforms.
Senior Technical Consultant at CACI
Position posted 4 weeks ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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