Data Engineer & Data Architect

Location: Plano Texas- Onsite

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Data Engineer

Salary: $140-150K

The opportunity:

Design develop and maintain scalable data pipelines using AWS services

Build and manage cloud-based data lakes on Amazon S3

Implement and optimize Snowflake data models for reporting and analytics

Develop real-time streaming solutions using Apache Kafka

Integrate enterprise systems using MuleSoft APIs and connectors

Deploy and manage containerized data workloads on AWS EKS

Write and optimize complex queries using Amazon Athena

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:

12 years of experience

Mandatory skills:

AWS Cloud Services (S3 Athena EKS IAM monitoring)

Snowflake (data modeling performance tuning reporting)

Apache Kafka (streaming producers/consumers real-time pipelines)

MuleSoft (API-based integrations enterprise data flows)

Amazon EKS (container orchestration deployment)

Querying Tools: Amazon Athena

Data Lakes: S3-based data lake architecture

Reporting: Snowflake reporting layer

Analytics & Visualization: Tableau

Nice to Have:

Python or SQL-based ETL development

CI/CD for data pipelines

Infrastructure as Code (Terraform/CloudFormation)

Experience with large-scale high-volume data systems

Data Architect:

$170-180K

The opportunity:

Architecture & Design

Own the end to end data architecture across ingestion storage processing serving and visualization layers.

Define canonical data models and domain data contracts; lead conceptual/logical/physical data modeling and schema design for batch and streaming use cases.

Establish reference architectures and patterns for event driven and API led data integration (Kafka MuleSoft).

Design secure multi account AWS topologies (VPC IAM KMS) for data workloads; enforce governance lineage and cataloging.

Platform Enablement (New Platform Build out)

Lead the blueprint and incremental rollout of a new AWS data platform including landing raw curated zones on S3 Athena for ad hoc/interactive SQL and Snowflake for governed analytics and reporting.

Define platform SLAs/SLOs cost guardrails and chargeback/showback models; optimize storage/compute footprints.

Partner with DevOps to run containerized data services on EKS (e.g. stream processors microservices connectors) and automate with CI/CD.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:

8 years in data architecture/engineering with 3 years architecting on AWS.

Proven design of S3 based data lakes with robust partitioning lifecycle policies and metadata/catalog strategy.

Hands on experience with Kafka (topic design schema evolution consumer groups throughput/latency tuning).

Practical MuleSoft integration design (API led connectivity RAML/OAS policies governance).

Production experience with Amazon EKS for data/streaming microservices and connectors.

Strong SQL and performance tuning with Athena; expertise selecting file formats/partitioning for cost/perf.

Data warehousing on Snowflake (ELT clustering resource monitors security) and delivering analytics via Tableau.

Mastery of data modeling (3NF dimensional/star data vault) data contracts and event modeling.

Solid foundations in security IAM/KMS networking for data platforms and cost management.

Preferred Qualifications

Experience with schema registries stream processing frameworks and change data capture.

Background in data governance (catalog/lineage) metadata automation and compliance frameworks.

Familiarity with IaC and DevOps practices for data (pipeline CI/CD environment promotion GitOps).

Prior work enabling self-service analytics and establishing an enterprise semantic layer.