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Job Role : Kafka Architect with Retail EXP at Remote, Remote, USA
Email: [email protected]
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We have the below requirement open. Please send me your genuine candidate on my
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[email protected]
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Job Role : Kafka Architect with Retail
EXP

Location : Remote

Duration: Long Term

Visa : USC, GC, EAD

Job Description

We are looking for a Kafka Architect with
expertise in Event-Driven Architecture (EDA) for Retail to design, evaluate,
and implement scalable, real-time event streaming solutions for retail and
eCommerce platforms. This requires hands-on experience with Apache Kafka, Kafka
Streams, and Kafka Connect to enable seamless data flow across omnichannel
retail operations, real-time inventory management, personalized customer
experiences, and predictive analytics.

Key Responsibilities:

Architect and implement real-time event
streaming platforms for use cases such as real-time inventory tracking, fraud
detection, personalized promotions, and dynamic pricing.

Evaluate and select Kafka deployment models
(self-managed, Confluent, AWS MSK, Azure Event Hubs, etc.) based on business
and scalability needs.

Design high-availability Kafka clusters to
handle massive transaction volumes in eCommerce, POS systems, and digital
customer engagement.

Define best practices for topic management,
schema evolution (Schema Registry), and partitioning strategies for large-scale
retail data flows.

Enable real-time customer data streaming from
multiple sources (POS, eCommerce platforms, loyalty programs, IoT devices).

Build Kafka-powered data pipelines to
integrate with ERP, CRM, WMS, OMS, and personalization engines.

Develop stream processing solutions using
Kafka Streams and ksqlDB for dynamic promotions, order fulfillment, and fraud
detection.

Ensure seamless integration with retail
analytics platforms like Snowflake, Databricks, and Google Big Query.

Optimize Kafka infrastructure to support
seasonal peaks, high traffic surges (e.g., Black Friday, Cyber Monday), and multi-channel
order management.

Implement disaster recovery, failover
strategies, and high-availability configurations for mission-critical retail
systems.

Define security policies for data protection,
compliance (PCI-DSS), and customer privacy regulations (GDPR, CCPA).

Establish monitoring, logging, and alerting
using tools like Prometheus, Grafana, Splunk, and Open Telemetry.

Act as the Kafka SME for retail transformation
projects, educating engineering and business teams on event-driven capabilities.

Collaborate with eCommerce, supply chain,
marketing, and data science teams to drive real-time decision-making.

Partner with cloud architects, DevOps, and
cybersecurity teams to ensure a secure, scalable Kafka ecosystem.

Required Skills & Experience:

8+ years of experience in designing and
implementing event-driven architectures, preferably in retail, eCommerce, or
omnichannel environments.

Deep expertise in Apache Kafka (Kafka Streams,
Kafka Connect, ksqlDB, Schema Registry).

Strong knowledge of real-time retail
analytics, demand forecasting, and digital customer engagement.

Experience integrating Kafka with retail POS
systems, inventory management, and order fulfillment platforms.

Hands-on experience with microservices and
event-driven patterns (CQRS, SAGA, Event Sourcing).

Experience working with cloud-based Kafka
implementations (AWS MSK, Azure Event Hubs, GCP Pub/Sub).

Proficiency in real-time inventory tracking,
recommendation engines, and fraud detection systems.

Experience with containerization (Docker,
Kubernetes) and CI/CD pipelines for Kafka deployments.

Strong background in monitoring tools and
performance tuning for Kafka clusters.

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Keywords: continuous integration continuous deployment information technology green card Idaho
Job Role : Kafka Architect with Retail EXP
[email protected]
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11:35 PM 25-Feb-25


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