W2 Contract Data Architect

Type: W2 Contract

Job Description: Data Architect (Splunk, Kinesis, Lambda)

Location:
Seattle, WA (Preferred) — Remote candidates also acceptable

Position Overview

We are seeking an experienced
Data Architect
with strong expertise in
Splunk, AWS Kinesis, and AWS Lambda
to design and optimize large-scale data pipelines, real-time streaming architectures, and analytics environments. The ideal candidate will have hands-on experience building robust, scalable, and secure cloud-native data solutions. Experience with
Connect Analytics
is a strong plus.

Key Responsibilities

• Design and implement end-to-end data architectures leveraging
  AWS Kinesis
  ,
  Lambda
  , and related streaming technologies.
• Develop scalable real-time data ingestion and processing pipelines.
• Manage and optimize
  Splunk
  environments including dashboards, alerting, log ingestion, and data retention.
• Collaborate with cross-functional teams (Engineering, DevOps, Security, Analytics) to define data strategy and architecture standards.
• Ensure high availability, data quality, and governance across all data systems.
• Conduct performance tuning, troubleshooting, and cost optimization for AWS-based data workloads.
• Implement best practices for security, monitoring, and operational excellence in cloud data environments.
• (Nice to Have) Support and enhance
  Connect Analytics
  implementations.

Required Skills

• Strong hands-on experience with
  Splunk
  (dashboards, log ingestion, data modeling).
• Expertise in
  AWS Kinesis (Data Streams, Firehose)
  and
  AWS Lambda
  .
• Solid understanding of streaming data architectures and event-driven systems.
• Experience with AWS cloud services (S3, IAM, CloudWatch, Glue, Step Functions, etc.).
• Proficiency in Python, SQL, or similar scripting languages.
• Strong understanding of data modeling, data governance, and data lifecycle management.
• Ability to work independently in a fast-paced, distributed environment.

Nice to Have

• Experience with
  Connect Analytics
• Exposure to Snowflake, Redshift, or other data warehouse platforms
• Experience with API integrations and microservices architectures