Technical Architect

Job ID: 112314-1

Job Title

Technical Architect

Location

Phoenix, Arizona / 100% onsite

Duration

6 months

Pay Rate

$55-$60/hr on W2/C2C

PLEASE NOTE

This position requires strong hands-on experience in implementing Data Platform using Java/Springboot/Kafka/Microservices skillsets.

Role Overview

We are seeking an experienced Technical Architect to own the deep technical design and implementation of the event-driven data ingestion layer within the Enterprise Data Platform(EDP).

This role is hands-on and inward-facing

the Technical Architect defines and governs how source services, Java/Spring Boot microservices, Apache Kafka, and downstream storage (ADLS Delta) fit together, ensuring reliability, scalability, and engineering rigor across the ingestion pipeline. The ideal candidate combines strong Java/Spring Boot engineering depth with practical experience designing Kafka-centric, event-driven microservice architectures, including transactional outbox patterns, CDC pipelines, and idempotent consumers.

Key Responsibilities

• Own the end-to-end technical design of Java/Spring Boot microservices that produce, consume, and process Kafka events for the EDP ingestion layer (e.g., the Enterprise Entity Service, batch/stream ingestion microservices).
• Design and implement the transactional outbox pattern for multiple event types (e.g., sales, inventory), including single-topic-plus-DLQ strategies, aggregate-keyed ordering, and schema-governed event envelopes (event_id, aggregate_id, sequence, occurred_at, schema_version).
• Define CDC-based event capture using Debezium (or equivalent) and the Outbox Event Router pattern to publish business-data changes to Kafka with at-least-once delivery guarantees.
• Architect idempotent, exactly-once-processing-safe consumers, covering dedupe-by-event-id, retry/backoff policies, circuit breakers, and DLQ handling for transient and poison-message failures.
• Design incremental/watermark-based extraction services in Spring Boot (e.g., Spring Batch with JdbcPagingItemReader, ShedLock for single-flight scheduling) for SQL Server and other relational sources feeding Kafka.
• Define the technical contract between Kafka and the storage layer, including Kafka Connect sink connectors (Iceberg/Delta on ADLS), schema evolution via Schema Registry, and medallion (Bronze/Silver/Gold) data layering.
• Set coding standards, review architecture and code for Java/Spring Boot services, and mentor engineers and senior developers on microservice design patterns, resiliency, and performance tuning.
• Establish retry, backoff, and range-based retry strategies across ingestion layers (storage reads, DB writes, Kafka consumes, relay publishing), and define circuit-breaker and alerting thresholds.
• Collaborate with the Lead Solution Architect and enterprise architects to translate target-state data platform architecture into detailed technical blueprints and implementation plans.
• Define monitoring and operational practices (DLQ depth, consumer lag, reject rates) using tools such Dynatrace.
• Support production troubleshooting of cluster performance, infrastructure scaling, and pipeline errors for the services under their ownership.
• Provide hands-on leadership for Enterprise Data Platform Modernization initiatives, including current-state assessments, architecture transformation, migration planning, and modernization roadmaps.
• Lead customer workshops to understand business requirements, use cases, pain points, and future-state needs.
• Define Target State and Transition State Architectures for enterprise-scale data and analytics platforms.
• Lead architecture blueprinting, solution definition, and technology evaluation.
• Translate business requirements into technical capabilities, architecture artifacts, and implementation roadmaps.
• Drive technology selection and evaluation across cloud-native, open-source, and commercial platforms.
• Develop implementation strategies, effort estimate, infra sizing & cost model
• Define data platform operating models, engineering practices, architecture standards, and governance frameworks.
• Guidance on scalability, performance, security, reliability & operational excellence
• Design modern data integration architectures, including CDC & event-streaming platforms
• Evaluate and recommend open-source technologies for enterprise adoption.
• Collaborate with business stakeholders, product teams, architects, and engineering teams throughout the engagement lifecycle.
• Support pre-sales activities, solution development, proposals, architecture reviews, and executive presentations.
• Mentor engineering and architecture teams on modern data platform technologies, architecture patterns, and best practices.

Mandatory Skills

Core Technical Stack

• Strong hands-on experience in Java (Java 10+) and Spring Boot, including Spring Batch, Spring Kafka, and Spring Integration.

Deep working knowledge of Apache Kafka

producers/consumers, partitioning and keying strategies, consumer groups, offsets, Kafka Connect, and Schema Registry.

Experience designing microservices using event-driven patterns

transactional outbox, CDC (Debezium), saga/idempotent consumer patterns, and dual-write avoidance.

• Practical experience with relational databases (SQL Server, PostgreSQL) including watermark/incremental extraction, change tracking/CDC, and transactional writes.
• Familiarity with modern lakehouse storage formats — Delta Lake and/or Apache Iceberg on Azure Data Lake Storage (ADLS) — and query engines such as Spark or Databricks.

Experience with distributed system resiliency patterns

retry with exponential backoff, circuit breakers, dead-letter queues, and idempotency guarantees.

Architecture & Leadership

• Proven experience as a Technical Architect or Senior Engineer leading the technical design of data ingestion or event-streaming platforms.
• Ability to produce detailed design documentation, architecture diagrams, and implementation guides for stakeholder review.
• Strong understanding of scalability, performance tuning, security, and operational monitoring for high-throughput streaming systems.
• Experience mentoring engineering teams and enforcing coding/design standards across a microservices codebase.

Technical Expertise

• Java | Spring Boot | Microservices | Kafka | Cassandra | SQL | Debezium
• Cloud Storage Azure
• Nice to have Python | Spark | Informatica

Data & Analytics

• Real-Time Data Processing
• Event-Driven Architecture
• CDC Architecture
• API and Service Integration
• Enterprise Architecture Patterns

Preferred Industry Experience

• Retail
• Grocery Retail
• Consumer Goods
• E-Commerce
• Omnichannel Commerce
• Supply Chain
• Merchandising & Inventory Analytics

Educational Qualifications

• Bachelor's or Master's Degree in Computer Science, Engineering, Information Technology, or a related discipline.

Desired Candidate Profile

• 10+ years of experience in Software engineering and architecture.
• Proven experience architecting and delivering enterprise-scale cloud data platforms.
• Strong consulting mindset with the ability to engage CXO and senior business stakeholders.
• Ability to independently drive architecture workstreams from discovery through roadmap definition.
• Experience leading geographically distributed teams and large transformation programs.
• Strong problem-solving and communication skills with a focus on business outcomes.

Experience Required

10 & Above