Data Technical Architect

Rysun Labs Inc•Copperfield, TX

3d•Onsite

About The Position

Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor). We are looking for an experienced Data Technical Architect to design and implement scalable data platforms, modern data architectures, and cloud-based analytics solutions. The ideal candidate should have strong expertise in Databricks, Data Engineering, Big Data technologies, and cloud platforms.

Requirements

Databricks (Delta Lake, Unity Catalog, Workflows, Databricks SQL)
Apache Spark / PySpark
Python & SQL
Data Warehousing and Data Modeling
ETL/ELT Architecture
Cloud Platform: Azure / AWS / GCP
Real-time and Batch Data Processing
Data Lakehouse Architecture
6+ Years of experience
Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional

Nice To Haves

Snowflake, Synapse, Kafka
CI/CD and DevOps practices
Exposure to AI/ML and MLOps platforms
Client-facing architecture and consulting experience
A hands-on Data Architect with strong Databricks expertise, capable of leading enterprise data transformation initiatives, driving architecture decisions, and mentoring engineering teams while working closely with clients and stakeholders.

Responsibilities

Design and implement enterprise-scale data architectures and Lakehouse solutions.
Lead Databricks-based data engineering initiatives.
Architect and optimize ETL/ELT pipelines for batch and real-time processing.
Collaborate with business stakeholders and technical teams to define data strategies and solutions.
Ensure data governance, security, quality, and performance best practices.
Mentor data engineering teams and provide architectural guidance.