- Defining the architecture, schema, and data modelling approaches to ensure efficient data retrieval and analysis.
- Designing data architectures to support Business Intelligence (BI) and reporting needs.
- Building architectures for real time data streaming and processing using technologies like Apache Kafka or Amazon Kinesis.
- Assisting clients in migrating and consolidating data from legacy systems to modern platforms.
- Performing maturity assessments across clients' data capabilities and recommending improvements
- Translating business requirements (both functional and non functional) into solutions, ensuring compliance with the organisations strategy, policies, and standards and in some cases, help customers to define new policies, principles and standards.
- Helping clients to identify risks and mitigations for their complex data programmes, as well as transition to modern cloud based infrastructures (AWS, Azure, GCP) by leveraging related architecture patterns (e.
- Knowledge of different technology stacks including common legacy and modern data stacks
- Well versed with documentation and artefacts that need to go along with the architecture design and delivery work.
- Stay updated on industry trends, emerging technologies, and best practices related to cloud computing, architecture, and data management.
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Consultant Data Analyst - London, United Kingdom - Baringa Partners LLP
Description
Weare looking for an experienced Data Architecture consultant to join our growingData Analytics & AI practice.This is a unique opportunity to join anexciting, growing team but with the backing of a much larger and moreestablished business.
You will have the opportunity to work on a wide range ofexciting and innovative projects, all whilst playing an integral role ingrowing our data practice.
OurData Analytics & AI team really likes helping our clients solve theircomplex problems with data, by implementing controls and governance of data,creating actionable insights, embedding machine learning solutions or buildingdata platforms.
We bring the right team and skills on the table and can offerdeep expertise across Data Strategy, Data Science & Engineering, DataVisualisation, Data Management, Data Architecture and Software Development.
Youwill be using your experience to help our clients solve their most importantdata challenges.You would be alsoresponsible to support the growth of our team, helping them to build the skillsthey need to solve our client's challenges.
Defining and implementing on premise or cloud architectures, for example, a cloud data warehouse, data lake or a data platform to enable digital transformation.
Weare seeking cloud solution architects with growth mindset, who are excited byempowering decision making with cloud solutions leveraging data, and keen totake an active part in the growth of the company
Data Strategy & Planning:
Define data strategies and roadmaps aligned with business objectives.
Identify opportunities for data-driven solutions and improvements.
Data Modelling & Design:
Create and maintain conceptual, logical, and physical data models.
Design databases, data warehouses and data lakes to meet scalability, performance, and reliability requirements, in line with client needs
Ensure data models adhere to industry standards and best practices.
Data Integration:
Develop data integration strategies to consolidate data from various sources.
Design data pipelines to extract, transform, and load (ETL) data into storage systems.
Collaborate with ETL developers to implement data integration workflows.
Cloud & Big Data:
Design data solutions that leverage cloud (e.g., AWS, Azure) and big data technologies.
Develop strategies for data storage, processing, and analysis in cloud environments.
Data Architecture Governance:
Establish and enforce data architecture principles, standards, and best practices.
Participate in architecture reviews and ensure compliance with established guidelines.
Data Architecture Documentation:
Create and maintain comprehensive documentation of data architecture, including data flow diagrams, data dictionaries, and metadata definitions.
Performance Optimisation:
Identify and address performance bottlenecks in data processing and querying.
Optimise database structures, indexes, and queries for improved efficiency.
Implement caching and data partitioning strategies to enhance performance.
Research and evaluate new data management technologies, tools, and frameworks.
Recommend technology stacks based on project requirements and industry trends.
Analyse complex data challenges and devise innovative solutions.
Troubleshoot issues related to data architecture and recommend corrective actions.
-Ability to own and run complex client engagements, interact with leaders across industry, work with senior stakeholders to help them understand and frame their problems, assess their current state, and make impactful recommendations which help shape their thinking.
All employees participate in the Baringa Group Profit Share Scheme, which seeks to ensure that everyone has a stake in the success of the company.
We recognise everyone needs a well-deserved break - As such we have introduced the 'Re-charge' benefit meaning Baringa will offer all employees an additional 2 weeks of paid leave after 5 years continuous service.
Lastly, we recognise the importance of work-life balance and we know that the 'ideal' balance will vary from person to person and will change at different stages of our working lives.
If you require flexible working, please talk to one of our Recruiters about the flexibility you may need.Diversity & Inclusion
All applications will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background.