Forward Deploy Engineer
Role Overview: As a Forward Deploy Engineer in our Customer Success team, you will partner with leading organizations to solve complex data challenges. You'll engage with data engineers, data scientists, and analysts to adopt Datahub’s innovative solutions and best practices, empowering them to achieve their data goals.
This role will shape the Forward Deploy Engineer function and contribute to the Customer Success and Engineering teams to help solve critical technological challenges. You'll work with a supportive, tight-knit team and interact with customers across the U.S., Europe, and the Middle East.
Large-Scale Financial Data Experience: Proven track record of partnering with Fortune 500 financial institutions to architect and implement enterprise-grade data management solutions handling petabyte-scale datasets across trading systems, risk management platforms, and regulatory reporting infrastructure. Experience navigating complex financial data ecosystems involving real-time market data feeds, transactional databases, and compliance-critical data warehouses while ensuring strict adherence to regulatory frameworks including SOX, GDPR, and financial services data governance standards. Demonstrated ability to work directly with quantitative analysts, risk managers, and compliance teams to understand their data lineage requirements and translate business needs into scalable technical solutions that support mission-critical financial operations and regulatory auditing processes.
Large-Scale Software Company Experience: Extensive experience working with Fortune 500 software companies as a Solution Architect or Forward Deploy Engineer,
designing and implementing enterprise data management solutions at scale. Proven ability to navigate complex technical landscapes in high-growth technology organizations, understanding their unique challenges around rapid data growth, multi-tenant architectures, and the need for real-time data insights to drive product development and business intelligence initiatives.
Thought Leadership & Customer Advisory: Demonstrated expertise in providing strategic guidance and best practices to enterprise customers, with a proven track record of developing and delivering customer-facing white papers, technical case studies, and solution frameworks. Experience translating complex technical concepts into business value propositions and creating scalable, repeatable solution-driven frameworks that can be adapted across multiple enterprise implementations. Strong ability to establish trusted advisor relationships with C-level executives and technical leadership teams, influencing strategic technology decisions through authoritative thought leadership content.
KEY RESPONSIBILITIES
The Employee shall perform the following duties and responsibilities:
Technical Advisory: Serve as a trusted technical advisor, guiding customers on data ingestion, governance, and best practices.
Customer Collaboration: Collaborate with customers to understand their business needs, developing solutions that align with their objectives.
Technical Implementation: Build custom integrations and resolve technical issues during customer onboarding.
Core Capabilities
Python Development - Advanced proficiency in Python is essential for building data integration solutions, automation scripts, and custom connectors within the Datahub ecosystem.
Data Platform Expertise - Deep understanding and hands-on experience with modern data warehouse and analytics platforms including Snowflake, Databricks, Amazon Redshift, and PostgreSQL for seamless data ingestion and integration.
Data Lineage Implementation - Strong expertise in implementing and maintaining comprehensive data lineage tracking systems to ensure data governance, compliance, and impact analysis across complex data pipelines.
Financial Services Domain Knowledge - Proven experience working with large financial institutions, understanding regulatory requirements, data security standards, and the unique challenges of financial data management at enterprise scale.
Enterprise Integration Skills - Experience designing and deploying scalable data solutions in complex enterprise environments, with focus on reliability, performance monitoring, and client-specific customizations for forward deployment scenarios.
Data Discovery & Cataloging - Expertise in configuring advanced search capabilities, implementing business glossaries, data classification schemes, and establishing metadata governance workflows within Datahub.
Apache Kafka - Understanding of Kafka for real-time metadata streaming and event-driven architectures that power Datahub's live metadata updates
Elasticsearch - Knowledge of search indexing and optimization for Datahub's discovery features and performance tuning of metadata search capabilities.
Container Orchestration - Experience with Docker and Kubernetes for Datahub deployment, scaling, and management in enterprise environments.
Infrastructure Deployment: Build custom installs for self-hosted solutions in Azure, AWS, GCP with Terraform, Helm Charts, Ansible, and other deployment tools.
Product Development Partnership: Partner with product and engineering teams to identify opportunities for feature improvements and innovation.
Documentation and Knowledge Sharing: Create and maintain technical documentation, implementation guides, and share knowledge within the team and
the community.
Experience Requirements
Large Scale Company Experience: Experience as a Solutions Architect/Forward Deploy Engineer with Fortune 100-500 companies is highly desirable
Forward Deploy Engineer
Role Overview: As a Forward Deploy Engineer in our Customer Success team, you will partner with leading organizations to solve complex data challenges. You'll engage with data engineers, data scientists, and analysts to adopt Datahub’s innovative solutions and best practices, empowering them to achieve their data goals.
This role will shape the Forward Deploy Engineer function and contribute to the Customer Success and Engineering teams to help solve critical technological challenges. You'll work with a supportive, tight-knit team and interact with customers across the U.S., Europe, and the Middle East.
Large-Scale Financial Data Experience: Proven track record of partnering with Fortune 500 financial institutions to architect and implement enterprise-grade data management solutions handling petabyte-scale datasets across trading systems, risk management platforms, and regulatory reporting infrastructure. Experience navigating complex financial data ecosystems involving real-time market data feeds, transactional databases, and compliance-critical data warehouses while ensuring strict adherence to regulatory frameworks including SOX, GDPR, and financial services data governance standards. Demonstrated ability to work directly with quantitative analysts, risk managers, and compliance teams to understand their data lineage requirements and translate business needs into scalable technical solutions that support mission-critical financial operations and regulatory auditing processes.
Large-Scale Software Company Experience: Extensive experience working with Fortune 500 software companies as a Solution Architect or Forward Deploy Engineer,
designing and implementing enterprise data management solutions at scale. Proven ability to navigate complex technical landscapes in high-growth technology organizations, understanding their unique challenges around rapid data growth, multi-tenant architectures, and the need for real-time data insights to drive product development and business intelligence initiatives.
Thought Leadership & Customer Advisory: Demonstrated expertise in providing strategic guidance and best practices to enterprise customers, with a proven track record of developing and delivering customer-facing white papers, technical case studies, and solution frameworks. Experience translating complex technical concepts into business value propositions and creating scalable, repeatable solution-driven frameworks that can be adapted across multiple enterprise implementations. Strong ability to establish trusted advisor relationships with C-level executives and technical leadership teams, influencing strategic technology decisions through authoritative thought leadership content.
KEY RESPONSIBILITIES
The Employee shall perform the following duties and responsibilities:
Technical Advisory: Serve as a trusted technical advisor, guiding customers on data ingestion, governance, and best practices.
Customer Collaboration: Collaborate with customers to understand their business needs, developing solutions that align with their objectives.
Technical Implementation: Build custom integrations and resolve technical issues during customer onboarding.
Core Capabilities
Python Development - Advanced proficiency in Python is essential for building data integration solutions, automation scripts, and custom connectors within the Datahub ecosystem.
Data Platform Expertise - Deep understanding and hands-on experience with modern data warehouse and analytics platforms including Snowflake, Databricks, Amazon Redshift, and PostgreSQL for seamless data ingestion and integration.
Data Lineage Implementation - Strong expertise in implementing and maintaining comprehensive data lineage tracking systems to ensure data governance, compliance, and impact analysis across complex data pipelines.
Financial Services Domain Knowledge - Proven experience working with large financial institutions, understanding regulatory requirements, data security standards, and the unique challenges of financial data management at enterprise scale.
Enterprise Integration Skills - Experience designing and deploying scalable data solutions in complex enterprise environments, with focus on reliability, performance monitoring, and client-specific customizations for forward deployment scenarios.
Data Discovery & Cataloging - Expertise in configuring advanced search capabilities, implementing business glossaries, data classification schemes, and establishing metadata governance workflows within Datahub.
Apache Kafka - Understanding of Kafka for real-time metadata streaming and event-driven architectures that power Datahub's live metadata updates
Elasticsearch - Knowledge of search indexing and optimization for Datahub's discovery features and performance tuning of metadata search capabilities.
Container Orchestration - Experience with Docker and Kubernetes for Datahub deployment, scaling, and management in enterprise environments.
Infrastructure Deployment: Build custom installs for self-hosted solutions in Azure, AWS, GCP with Terraform, Helm Charts, Ansible, and other deployment tools.
Product Development Partnership: Partner with product and engineering teams to identify opportunities for feature improvements and innovation.
Documentation and Knowledge Sharing: Create and maintain technical documentation, implementation guides, and share knowledge within the team and
the community.
Experience Requirements
Large Scale Company Experience: Experience as a Solutions Architect/Forward Deploy Engineer with Fortune 100-500 companies is highly desirable