ANALYTICS ARCHITECT

Coforge
London
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Enterprise Architect, Advanced Analytics

Senior Data Architect

Technical Architect

Senior Solutions Architect

SAP Data Architect

Principal Data Scientist

Job Description

� Designing Data Architecture: ? Analyze data requirements and business needs to design high-level and detailed data architecture plans. ? Select appropriate data storage solutions like BigQuery, Cloud Storage, and Cloud SQL based on data needs (structured, unstructured, etc.). ? Design data pipelines for data ingestion, transformation, and loading using tools like Cloud Dataflow or Cloud Dataproc. ? Implement data security best practices and ensure data governance throughout the architecture. � Big Data and Analytics Expertise: ? Wok with big data tools and frameworks like Apache Hadoop, Spark, and Flink on GCP. ? Design and implement data lakes for storing and managing large datasets. ? Integrate data pipelines with machine learning and data analytics tools on GCP. � Cloud Infrastructure Management: ? Manage and optimize GCP infrastructure for data processing and storage, considering factors like cost and scalability. ? Configure and manage cloud security for data resources on GCP. ? Stay updated on the latest GCP data services and tools to leverage them in solutions. � Collaboration and Communication: ? Collaborate with various teams like data scientists, developers, and business stakeholders to understand data needs and translate them into technical solutions. ? Document data architecture plans and designs clearly for future reference and handover. ? May present technical data solutions to stakeholders. Skills and Qualifications (typical, may vary): � Strong understanding of data architecture principles and best practices � Experience with GCP data services like BigQuery, Cloud Dataflow, Cloud Dataproc, etc. � Familiarity with big data frameworks like Hadoop, Spark, Flink (plus) � Experience with cloud security principles � Excellent communication and collaboration skills � Experience working with SQL and data modelling

Posted On

� Designing Data Architecture: ? Analyze data requirements and business needs to design high-level and detailed data architecture plans. ? Select appropriate data storage solutions like BigQuery, Cloud Storage, and Cloud SQL based on data needs (structured, unstructured, etc.). ? Design data pipelines for data ingestion, transformation, and loading using tools like Cloud Dataflow or Cloud Dataproc. ? Implement data security best practices and ensure data governance throughout the architecture. � Big Data and Analytics Expertise: ? Wok with big data tools and frameworks like Apache Hadoop, Spark, and Flink on GCP. ? Design and implement data lakes for storing and managing large datasets. ? Integrate data pipelines with machine learning and data analytics tools on GCP. � Cloud Infrastructure Management: ? Manage and optimize GCP infrastructure for data processing and storage, considering factors like cost and scalability. ? Configure and manage cloud security for data resources on GCP. ? Stay updated on the latest GCP data services and tools to leverage them in solutions. � Collaboration and Communication: ? Collaborate with various teams like data scientists, developers, and business stakeholders to understand data needs and translate them into technical solutions. ? Document data architecture plans and designs clearly for future reference and handover. ? May present technical data solutions to stakeholders. Skills and Qualifications (typical, may vary): � Strong understanding of data architecture principles and best practices � Experience with GCP data services like BigQuery, Cloud Dataflow, Cloud Dataproc, etc. � Familiarity with big data frameworks like Hadoop, Spark, Flink (plus) � Experience with cloud security principles � Excellent communication and collaboration skills � Experience working with SQL and data modelling

Department

UK Europe

Posted On UK Europe Open Positions

1

Posted On 31-Dec- Skills Required

GCP DATA LAKE

Posted On GCP DATA LAKE Location

London

Posted On London Years Of Exp

10.0 to 15.0 Years

Posted On 10.0 to 15.0 Years Posted On 19-May-

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Announcements

How to Advertise AI Jobs and List AI Vacancies: Advanced Recruitment Strategies for 2025

In a landscape where artificial intelligence (AI) is rapidly transforming industries—from healthcare and finance to manufacturing and creative fields—employers are in stiff competition to secure the best AI talent. Whether you’re a start-up looking for your first machine learning engineer or a global enterprise planning an AI research lab, knowing how to advertise AI jobs effectively has never been more critical. Below, you’ll find in-depth strategies for crafting compelling AI job adverts, optimising your recruitment funnel, and showcasing your organisation as an employer of choice for top AI specialists. We’ll also explore the importance of salary transparency, the best channels for promoting your AI vacancies, and advanced techniques for nurturing a culture of innovation.

Jobs

AI Training Jobs: Your Comprehensive Guide to Launching a High-Potential Career

Artificial Intelligence (AI) has evolved from a futuristic concept to a core component of modern business strategy. As organisations increasingly embrace AI-driven systems to stay competitive, the demand for qualified professionals who can develop, implement, and train AI models has skyrocketed. In the UK—and indeed worldwide—there is a pressing need for skilled experts who understand the nuances of AI, from algorithm design to ethical considerations. For anyone seeking to enter this exciting field or pivot into a role focusing on AI training, the opportunities are abundant. This in-depth blog post will explore everything you need to know about AI training jobs, the essential skills you’ll need, the current employment landscape in the UK, and how to future-proof your career in AI.

Jobs

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.