Resident Solution Architect

Overview

Remote
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Amazon Web Services
Apache Kafka
Apache Spark
Artificial Intelligence
Big Data
Cloud Computing
Collaboration
Communication
Continuous Delivery
Continuous Improvement
Continuous Integration
Customer Engagement
Data Analysis
Data Engineering
Data Security
Data Warehouse
Databricks
Design Patterns
ELT
Extract
Transform
Load
Good Clinical Practice
Google Cloud Platform
Instructional Design
Leadership
Management
Microsoft Azure
Microsoft Power BI
Migration
Project Delivery
PySpark
Python
Real-time
SQL
SQL*Plus
Sales
Scala
Scheduling
Soft Skills
Stakeholder Management
Streaming
Terraform
Unity

Job Details

Objectives for Resident Solution Architect:

1) Deliver impactful technical projects by designing and building reference architectures and production ready solutions using Lakehouse and Delta Lake best practices.

2) Scope, plan, and manage engagements in collaboration with customers, engagement managers, and cross-functional teams.

3) Guide customers through the design, build, and deployment of big data and AI applications, including migrations, to ensure successful adoption of clients.

4) Consult on architecture and design, optimizing cluster configurations and enforcing robust data security and governance with Unity Catalog.

5) Provide escalated support for complex operational issues and ensure reliable scheduling, monitoring, and management of production jobs.

6) Implement CI/CD pipelines, document solutions, and share reusable assets to enable customer self sufficiency and consistent delivery.

7) Continuously monitor, optimize, and improve data pipelines and models, offering product and implementation feedback for continuous improvement.

8) Enable customer teams through training, documentation, and best practice sharing.

1 | Experience (in years)
Minimum 8+ years of hands-on experience:
Data engineering
Data platforms
Data analytics
Data warehousing
Big data technologies (Kafka, Data Lakes, and cloud-native solutions)

2 | Cloud Services
Hand on Experience with modern cloud platforms, including their data services:
AWS
Azure
Google Cloud Platform

3 | Programming
Python
SQL
Scala
SQL + PySpark live assessment

4 | Databricks Platform
Hands-on experience with
Databricks SQL
Spark/ Spark Serverless compute
Delta Lake
MLflow
Unity Catalog
DLT
Governance Roles breakdown

5 | Migration Architecture
Hand on experience in led/architected different workload migrations
Understanding of ETL/ELT design patterns
Real-time streaming experience (Autoloader, file spikes, Kafka)
Advanced Spark internals knowledge (DAG, memory, fault tolerance)

6 | Deployment Strategy
Hand on Experience with
DAB
Terraform
CI/CD practices
Code and infra deployment in Databricks

7 | Projects & Client Delivery
Hand on Experience in multiple projects as a Solution Architect & Senior Consultant
Experienced in technical project delivery (managing scope, timelines, and deliverables)

8 | Soft Skills
Communication Skills
Stakeholder Management
Leadership Skills
Consulting Skills

9 | Certifications
Data Engineering Associate & Professional

10 | Additional Skills
Background in Pre-sales or enablement activities
Power BI

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.