Data Technical Architect

Company Overview

Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates 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 outperform competition and lead change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun is CMMI Level 5, ISO 9001 & 27001 certified and fosters a growth‑mindset, collaborative culture across global teams in the US, UK, India & South Africa (Level 2 B‑BBEE Contributor).

About the Role

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 position is based in Houston, TX and requires 6+ years of experience. Mandatory certification: Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional.

Key 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.

Required Skills

• Databricks (Delta Lake, Unity Catalog, Workflows, Databricks SQL)
• Apache Spark / PySpark
• Python & SQL
• Data warehousing and data modeling
• ETL/ELT architecture
• Cloud platforms: Azure, AWS, GCP
• Real‑time and batch data processing
• Data Lakehouse architecture

Preferred Skills

• Snowflake, Synapse, Kafka
• CI/CD and DevOps practices
• Exposure to AI/ML and MLOps platforms
• Client‑facing architecture and consulting experience

Qualifications

• Bachelor's or Master's degree in Computer Science, IT, Data Science, or a related field.
• Mandatory Databricks certification (Associate or Professional).

Preferred Profile

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.

Benefits

• Dental insurance
• Health insurance
• Paid time off
• Training & development
• Vision insurance