Senior Data Architect
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 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.