R Systems International - Technical Architect - ETL/Snowflake DB

Description

About the job

We are looking for a highly experienced Technical Architect to own and drive the end-to-end design of our data ecosystem.

This role will be responsible for assessing our current data landscape, identifying gaps and bottlenecks, and defining a scalable future-state architecture that enables seamless integration of data from multiple disparate sources.

The ideal candidate will bring deep expertise in data architecture, data modeling, and modern data platforms, with a strong focus on building robust, scalable, and future-ready data solutions.

Key Responsibilities

• Architectural Ownership
• Define and own the enterprise data architecture strategy and roadmap.
• Analyze the current data environment and design a future-state architecture aligned with business goals.
• Ensure scalability, reliability, and performance of data systems.

Data Design & Modeling

• Design conceptual, logical, and physical data models.
• Establish standards for data modeling, governance, and data quality.
• Enable unified data access across structured and unstructured data sources.

Data Integration & Pipelines

• Architect and oversee data ingestion, transformation, and processing pipelines.
• Design solutions for integrating data from multiple, disparate sources into a cohesive platform.
• Ensure efficient data flow across systems (batch and real-time).

Platform & Technology Leadership

• Evaluate, select, and implement modern data technologies and tools.

Provide Deep Expertise In

• Data Warehousing solutions (e.g., Snowflake)
• Data Lakes and Lakehouse architectures
• Streaming platforms (e.g., Kafka)
• ETL/ELT tools and frameworks
• Optimize architecture for performance, cost, and scalability.
• Governance & Best Practices
• Establish data governance frameworks, including data quality, lineage, and security.
• Define standards and best practices for data architecture and engineering teams.
• Ensure compliance with data regulations and security standards.
• Collaboration & Leadership
• Work closely with Data Engineers, Analysts, Product, and Business stakeholders.
• Translate business requirements into scalable technical solutions.
• Mentor and guide engineering teams on architectural best practices.

Required Skills & Qualifications

• 8+ years of experience in data engineering, data architecture, or related roles.
• Strong expertise in designing large-scale data architectures.

Deep Understanding Of

• Data Warehousing (e.g., Snowflake, Redshift, BigQuery)
• Data Lakes (e.g., S3, ADLS, Hadoop ecosystems)
• Streaming platforms (e.g., Kafka)
• ETL/ELT pipelines and orchestration tools
• Proficiency in data modeling techniques (dimensional, normalized, etc.)
• Experience with cloud platforms (AWS, Azure, or GCP).
• Strong understanding of distributed systems and big data technologies.
• Experience with data governance, security, and compliance frameworks

(ref:hirist.tech)