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Azure Architect

Job in Grand Rapids, Kent County, Michigan, 49528, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Job Description

Architecture & Reliability Expectations (Event-Driven Systems)

Ensure Real-Time Event Pipeline Stability

Expected Capabilities

Design and enforce idempotent event processing, at-least-once or exactly-once delivery semantics

Currently Duplicate detection is enabled at Azure Service Bus Infrastructure level, and at Application-level messages being validated against duplicate processing.

Manage dead-letter queues (DLQ) and retry policies

Define event ordering, deduplication, schema evolution

Maintain SLOs for latency, throughput, and event loss. Define the same for new designs coming up for upcoming Transaction Groups.

Expected Actions

Event backlog monitoring

Consumer lag thresholds

Circuit breaker & back pressure strategies

Success Metric

Event loss = 0

Reprocessing success rate > 99.9%

End-to-end event latency within SLA

Disaster Recovery & Multi-Region Maturity

Since the environment is not yet fully Active-Active, the architect is expected to own the phased maturity roadmap.

Move Toward Active-Active Expected Roadmap Ownership

Front Door/APIM routing

Stateless compute enablement

Geo-replicated messaging (Azure Service Bus)

Cosmos DB multi-region writes

Azure SQL Hyperscale read replicas / failover groups

Events Rejected & Reprocessing Governance

Azure Data Factory DR

Expectation:
Design cross-region failover strategy (Example: EA2 → Central US)

Success Outcome

DB2 connection resiliency validated through DR drills

Azure Function App DR

Expectation:
Architect geo-redundant Function Apps

Ensure

Cross-region deployment pipelines

Storage replication (GRS / RA-GRS)

Mainframe failover connectivity strategy

Document file ingestion failover workflow

Success Outcome

Functions can fail over to Central US with minimal downtime

File ingestion resumes without data loss

Reprocessing – Failed Messages (Maintain current solution) Maintain Reprocessing Framework
- Expected deliverables

Event replay pipelines

Audit trail for rejected events

Data consistency & reconciliation logic

Replay throttling & idempotency safeguards

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