Overview
Remote
$120,000 - $160,000
Full Time
Skills
Databricks
Informatica
Python
Apache Spark
SQL
Snowflake
Microsoft Azure
Amazon Web Services
Terraform
Job Details
Position: Remote & Full-Time
Key Responsibilities:
Solution Architecture & Implementation
Bachelor s or Master s degree in Computer Science, Engineering, or 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
- 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
- Participate in RFP responses, architecture reviews, and solution documentation for client onboarding
- 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
Bachelor s or Master s degree in Computer Science, Engineering, or 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
- Certifications 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)
- Ability to write technical whitepapers, solution briefs, or blog posts is a plus
- A strategic role bridging advanced data technologies with customer engagement
- Opportunity to work with leading platforms and next-generation data stacks
- Supportive team environment with access to training, certification, and conferences
- Competitive salary, incentive bonuses, and full benefits
- Flexible work arrangements, including remote work
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