MSquare Systems Inc.

Design and demonstrate scalable, secure cloud-native data pipeline architectures, conduct technical demos and POCs, and act as a trusted advisor in pre-sales engagements. | 12+ years in data engineering or architecture including 2+ years customer-facing pre-sales, expertise with Databricks, Snowflake, Informatica or AWS Glue, Python, SQL, Spark, AWS/Azure deployment, and strong communication skills. | Technical ArchitectRemoteFulltime Key ResponsibilitiesDesign 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 QualificationsBachelor s or Master s degree in Computer Science, Engineering, or a related technical field 12+ 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)