Technical Architect

Overview

Remote
Depends on Experience
Full Time
No Travel Required

Skills

Data bricks
Data Architecture

Job Details

Key Responsibilities: Design scalable and secure end-to-end data pipeline architectures across cloud-native platforms (AWS, Azure)
Build and demonstrate technical solutions using Databricks, Snowflake, Informatica, AWS Glue, etc.
Integrate data validation and observability tools such as Great Expectations, Monte Carlo, or DataGaps
Optimize pipeline performance, cost-efficiency, and data governance frameworks across diverse environments
Collaborate with sales teams to understand client needs and tailor data solutions accordingly
Conduct live demos, technical deep-dives, and proof-of-concept (POC) implementations to showcase capabilities
Act as a trusted technical advisor to prospects, translating business use cases into architecture proposals.
Partner with product and engineering teams to influence solution development based on market and customer feedback
Train internal stakeholders on data stack capabilities, patterns, and pre-sales workflows
Document architecture patterns, integration playbooks, and demo environments for reuse
Required Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related technical field
15+ years of experience in data engineering, data architecture, or cloud data platforms, with at least 2+ years in a customer-facing pre-sales or solution engineering role


Strong experience with:

Databricks (Spark, Delta Lake, Workflows)
Snowflake (ELT, Data Sharing, Snowpipe)
Informatica (IICS/PowerCenter) or AWS Glue
Proficiency in Python, SQL, and Apache Spark
Deep understanding of data modeling, security, ETL/ELT patterns, and modern architectures
Proven experience in deploying and managing data solutions on AWS and/or Azure
Excellent communication and presentation skills to interface with technical and non-technical stakeholders
Preferred SkillsCertifications in AWS (Data Analytics / Solutions Architect) or Azure (Data Engineer Associate)
Familiarity with real-time data streaming (Kafka, Kinesis) and IaC tools (Terraform, CloudFormation)
Experience with data governance, cataloging, and compliance frameworks (HIPAA, GDPR)

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.

About MSquare Systems Inc.