Senior Enterprise Data & Integrations Architect
We're transforming one of the world's oldest industries with cutting-edge technology and an innovative approach. Backed by top-tier investors and recognized by Time as one of the "best Inventions of 2024" and Fast Company as one of 2024's "Next Big Things in Tech", Electra is scaling rapidly and we're looking for bold, driven individuals to help us reshape the future of iron production. If you're ready to make a real impact in a company that's redefining heavy industry for a cleaner, smarter world, we want to hear from you.
The Senior Enterprise Data & Integrations Architect is a senior-level individual contributor responsible for designing and delivering scalable, secure, and governed data integration solutions across Electra's enterprise systems. This role is central to enabling a unified data platformbridging applications like NetSuite, Ironclad, Coupa, and others into Snowflake and / or Microsoft Fabric for analytics, reporting, and workflow automation.
This architect will lead the development of data pipelines, middleware integrations, and data models, ensuring business-critical systems are seamlessly connected and analytics-ready. The role also provides technical leadership in the use of iPaaS platforms and collaborates closely with BI, applications, and automation teams to enable enterprise-wide digital transformation.
Responsibilities include :
- Design and implement end-to-end data integration architectures connecting core business systems using modern iPaaS platforms (e.g., Workato, Celigo, MuleSoft, SnapLogic, Azure Logic Apps)
- Define and enforce standards for ETL / ELT pipelines, ensuring reliability, reusability, and performance
- Lead the development of integration frameworks that support real-time, event-based, and batch data movement across systems
- Own and evolve the enterprise data warehouse architecture using Snowflake and / or Microsoft Fabric
- Ensure consistent modeling, transformation, and availability of data for analytics, KPIs, and BI tools
- Optimize data ingestion, storage, and transformation strategies for cost and performance
- Connect and maintain data flows across key SaaS systems including NetSuite (ERP), Ironclad (CLM), Coupa (P2P), Salesforce, HRIS, and operational platforms
- Collaborate with application owners to manage APIs, webhooks, and event-driven integration models
- Work closely with the Microsoft Developer, Modern Workplace to power workflows and Power BI dashboards with governed and trusted data
- Partner with the Business Systems & Data Analyst team to deliver clean, documented datasets that support enterprise reporting and workflow automation
- Help define and maintain enterprise KPIs and data models to support performance tracking and strategic decision-making
- Establish and maintain data quality, lineage, and cataloging practices to support governance and compliance initiatives
- Monitor, troubleshoot, and optimize integration jobs and data pipelines across platforms
What we need you to bring to the team (required) :
Bachelor's degree in Computer Science, Information Systems, or related field8+ years of experience in enterprise data integration, data engineering, or architecture roles (excluding internships, co-ops, and other school projects)Applies advanced, wide-ranging expertise in enterprise architecture, data integration, and system design to develop and implement scalable, resilient solutions aligned with business goalsUses deep understanding of enterprise data models, integration principles, and cross-functional systems to solve complex, multi-dimensional problems in creative and effective waysLeads the design and development of integrations using modern iPaaS or middleware platforms (e.g., Workato, Celigo, MuleSoft, SnapLogic, Dell Boomi, Azure Logic Apps, Power Automate)Demonstrates strong knowledge of API-based integrations (REST / SOAP), event-driven architectures, and orchestration patterns across cloud and on-prem systemsProficient in data warehousing technologies (especially Snowflake and / or Microsoft Fabric), with strong SQL and data transformation skills; experience with dbt or Python is a plusBuilds and maintains scalable data pipelines that support enterprise reporting, analytics, and operational data exchange across ERP, CRM, P2P, and CLM platformsApplies sound judgment to evaluate competing priorities, select appropriate methods, and adapt integration strategies to evolving technical and business contextsEnsures architecture and integrations meet regulatory and privacy standards (e.g., GDPR, SOC 2), with a strong focus on reliability, security, and performanceCommunicates complex technical topics effectively to diverse audiences, including non-technical stakeholders, executives, and cross-functional partnersCollaborates across departments to guide the development of data policies, integration standards, and enterprise-wide best practicesNavigates ambiguous or evolving environmentscommon in clean tech, manufacturing, or energy startupswith adaptability, resourcefulness, and business acumenNetworks with key internal and external partners to influence decision-making, share knowledge, and continuously improve architectural approachesWhat we want you to bring to the team (preferred) :
10+ years of experience in enterprise data integration, data engineering, or architecture roles (excluding internships, co-ops, and other school projects)Experience integrating core enterprise SaaS systems such as NetSuite, Coupa, Ironclad, Salesforce, and HRIS platforms using modern iPaaS or middleware toolsHands-on experience building and maintaining data pipelines and integrations in hybrid cloud / on-prem environments, especially in regulated industries like manufacturing, clean energy, or life sciencesProven ability to collaborate cross-functionally with stakeholders in IT, operations, legal, and finance to deliver data solutions that meet business objectivesFamiliarity with KPI definition and metric governance, supporting executive reporting and performance management initiativesStrong technical skills in SQL, dbt, and data modeling techniques (e.g., dimensional, 3NF, data vault)Experience documenting data lineage, architecture diagrams, and integration workflows using tools such as Lucidchart or Draw.ioWorking knowledge of CI / CD practices for data and integration pipelines, leveraging tools like Git, Azure DevOps, or dbt CloudEffective communicator with the ability to explain complex data solutions to non-technical users and contribute in agile delivery teamsCompensation :
The anticipated starting pay range for this position is $100,000-$127,000 and may be more or less depending upon skills, experience, and educationBenefits For You :
100% paid premiums across all medical, dental, vision, telemedicine, short-term disability, long-term disability, and basic life insurance plansReasonable use PTO1,800 in annual employer HSA contributions (health savings account)Benefits For Your Family :
100% paid premiums across all medical, dental, vision, and telemedicine plans12 weeks of paid parental leaveBenefits For Your Future :
401k with up to 5% matching contributions which vest 100% on day oneEligibility for incentive stock options