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- Tasks: Design and implement data architecture using Kafka and AWS technologies.
- Company: Kirtana Consulting, a leader in innovative data solutions.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for skill enhancement.
- Why this job: Join a dynamic team and shape the future of data architecture.
- Qualifications: Over 10 years of experience in data architecture and streaming technologies.
- Other info: Exciting contract role with potential for growth in a fast-paced environment.
The predicted salary is between 60000 - 84000 £ per year.
Kirtana consulting is looking for a Streaming & EDA and Kafka Data Architect for a 6-month rolling contract in London.
Minimum years of experience: >10 years
Must-Have Skills:
- Streaming & EDA: Kafka (Confluent) and AWS MSK/Kinesis/Kinesis Firehose; outbox, ordering, replay, exactly/at-least-once semantics. EventBridge for event routing and filtering.
- Schema management: Avro/Protobuf + Schema Registry (compatibility, subject strategy, evolution).
- AWS data stack: S3/Glue/Athena, Redshift, Step Functions, Lambda; Iceberg-ready lakehouse patterns. Kinesis Glue streaming pipelines; Glue Streaming; DLQ patterns.
- Payments & ISO 20022: PAIN/PACS/CAMT, life cycle modelling, reconciliation/advices; API/File/SWIFT channel knowledge.
- Governance: Data-mesh mindset; ownership, quality SLAs, access, retention, lineage.
- Observability & FinOps: Build dashboards, alerts, and cost KPIs; troubleshoot lag/throughput at scale.
- Delivery: Production code, performance profiling, code reviews, automated tests, secure by design.
Data Architecture Fundamentals (Must-Have):
- Logical data modelling: Entity-relationship diagrams, normalization (1NF through Boyce-Codd/BCNF), denormalization trade-offs; identify functional dependencies and key anomalies.
- Physical data modelling: Table design, partitioning strategies, indexes; SCD types; dimensional vs. transactional schemas; storage patterns for OLTP vs. analytics.
- Normalization & design: Normalize to 3NF/BCNF for OLTP; understand when to denormalize for queries; trade-offs between 3NF, Data Vault, and star schemas.
- CQRS (Command Query Responsibility Segregation): Separate read/write models; event sourcing and state reconstruction; eventual consistency patterns; when CQRS is justified vs. overkill.
- Event-Driven Architecture (EDA): Event-first design; aggregate boundaries and invariants; publish/subscribe patterns; saga orchestration; idempotency and at-least-once delivery.
- Bounded contexts & domain modelling: Core/supporting/generic subdomains; context maps (anti-corruption layers, shared Kernel, conformist, published language); ubiquitous language.
- Entities, value objects & repositories: Domain entity identity; immutability for value objects; repository abstraction over persistence; temporal/versioned records.
- Domain events & contracts: Schema versioning (Avro/Protobuf); backward/forward compatibility; event replay; mapping domain events to Kafka topics and Aurora tables.
Nice-to-Have:
- QuickSight/Tableau; Redshift tuning; ksqlDB/Flink; Aurora Postgres internals.
- Edge/API constraints (Apigee/API-GW), mTLS/webhook patterns.
Streaming & EDA and Kafka Data Architect role-6months-London employer: Kirtana Consulting
Contact Detail:
Kirtana Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Streaming & EDA and Kafka Data Architect role-6months-London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to Streaming & EDA, Kafka, and AWS. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and scenarios specific to data architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Streaming & EDA and Kafka Data Architect role-6months-London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Streaming & EDA and Kafka Data Architect role. Highlight your experience with Kafka, AWS services, and any relevant projects that showcase your skills in data architecture.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific experiences that align with the job description and show your passion for data architecture.
Showcase Your Technical Skills: Don’t forget to list all the must-have skills mentioned in the job description. Be specific about your experience with streaming technologies, schema management, and AWS data stack to catch our eye!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates!
How to prepare for a job interview at Kirtana Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in the key technologies mentioned in the job description, like Kafka, AWS MSK, and Kinesis. Brush up on your knowledge of streaming and EDA concepts, as well as schema management with Avro and Protobuf. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've successfully implemented data architecture principles, especially around event-driven architecture and CQRS. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your practical experience and problem-solving skills.
✨Understand the Business Context
Familiarise yourself with the payments landscape and ISO 20022 standards, as they are crucial for this role. Knowing how your technical skills can impact business outcomes will help you stand out. Show that you understand not just the 'how' but also the 'why' behind your work.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data governance practices, observability tools, and how they measure success in their data architecture initiatives. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
