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Job Description
About Us:
AmpsTek – a global technology leader since 2013 – is transforming how businesses approach technology and staffing solutions. Founded by seasoned technology leaders across the UK, Europe, APAC, North America, and LATAM, and with registered offices in 30+ countries, we deliver exceptional service, scalable solutions, and measurable impact.
With a portfolio of 200+ clients and millions of users across web and mobile platforms, we empower businesses to innovate, grow, and succeed.
Join our team and be part of a dynamic, growth-oriented organization that values talent, creativity, and results.
Role Title: Senior Data Architect
Location : London, UK (Hybrid 2 days onsite/week)
Contract (InsideIR35)
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→S3→Glue streaming pipelines; Glue Streaming; DLQ patterns.
• Payments & ISO 20022:
PAIN/PACS/CAMT, lifecycle modeling, 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 Modeling
Entity-relationship diagrams, normalization (1NF through Boyce-Codd/BCNF), denormalization trade-offs; identify functional dependencies and key anomalies.
- Physical Data Modeling
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 Modeling
Core/supporting/generic subdomains; context maps (anti-corruption layers, shared kernel, conformist, published ); ubiquitous .
- Entities, Value Objects & Repositories
Domain entity ; 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.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
