2

Remote Matillion Jobs in Oregon (NOW HIRING)

... Matillion, Databricks, Azure Synapse, Qlik, StreamSets, NiFi, Cloudera, Coalesce, and EMR (not all ... Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.

Solutions Architect

OR · On-site +1

$63 - $83/hr

Python, SQL, Java and/or Scala, Spark, Kafka, Airflow, dbt, Fivetran, Matillion, or similar ... Remote-First Work Environment * 401k plan with company match * Dental and Vision insurance * Home ...

Remote Matillion information

What is a remote Matillion?

A Remote Matillion job refers to a role where professionals work from a remote location to design, develop, and manage data integration workflows using Matillion, a cloud-native ETL (Extract, Transform, Load) tool. These jobs typically involve creating data pipelines that extract data from various sources, transform it according to business requirements, and load it into cloud data warehouses like Amazon Redshift, Snowflake, or Google BigQuery. Remote Matillion professionals collaborate with data engineers, analysts, and business stakeholders through online communication tools. The role may also include troubleshooting data integration issues, optimizing performance, and ensuring data quality in a fully remote working environment.

What are the key skills and qualifications needed to thrive as a remote Matillion developer?

To thrive as a Remote Matillion Developer, you need expertise in ETL processes, data warehousing concepts, and proficiency with SQL, often supported by a degree in computer science or related fields. Familiarity with Matillion ETL, cloud platforms like AWS or Snowflake, and experience with data integration tools are typically required. Strong problem-solving, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure efficient data pipeline development and collaboration, enabling organizations to leverage data for business insights.

What are some common challenges faced by remote Matillion developers and how can they be effectively addressed?

Remote Matillion Developers often encounter challenges such as coordinating data pipeline deployments across distributed teams, ensuring secure access to sensitive data, and troubleshooting issues without direct, in-person collaboration. To address these challenges, developers rely on clear documentation, regular virtual meetings, and strong version control practices. Leveraging cloud-based collaboration tools and maintaining open channels of communication with data engineers, analysts, and stakeholders can also help streamline workflows and resolve issues efficiently.

What is the difference between Remote Matillion vs Remote Data Engineer?

AspectRemote MatillionRemote Data Engineer
Required CredentialsExperience with Matillion ETL, SQL, cloud platformsSQL, Python, cloud services, data modeling
Work EnvironmentCloud-based, data integration projectsCloud or on-premises, data pipeline development
Employer & Industry UsageData integration, ETL solutions, analytics firmsTech companies, finance, healthcare, analytics
Common Search & ComparisonYesYes

Remote Matillion roles focus on using Matillion ETL tools for data integration, requiring familiarity with cloud platforms and SQL. Remote Data Engineers design and build data pipelines using various tools and programming languages like Python. While both roles work in data environments and often in similar industries, Matillion specialists are more focused on specific ETL solutions, whereas Data Engineers have broader technical responsibilities.

What are the most commonly searched types of Matillion jobs in Oregon?

The most popular types of Matillion jobs in Oregon are:

What are popular job titles related to Remote Matillion jobs in Oregon?

For Remote Matillion jobs in Oregon, the most frequently searched job titles are:

Technical Delivery Manager

phData

OR • On-site, Remote

Full-time

Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Job description

Role Overview

We are looking for a Technical Delivery Manager to join our Elastic Platform Operations (EPO)/Managed Services team. In this role, you will lead and scale the design, implementation, and ongoing operations of modern data platforms for multiple enterprise customers, ensuring reliable delivery and continuous improvement of their cloud data environments. You will collaborate closely with client sponsors, technical stakeholders, and globally distributed delivery teams to drive high-quality outcomes on time and within budget. You will also play a key role in major incident response, process improvement, and the development of delivery best practices across our Managed Services portfolio.

Key ResponsibilitiesClient Delivery
  • Own and drive the delivery and operational excellence of modern data platforms (including streaming, data lakes, and analytics) for multiple customer accounts.
  • Translate business and technical requirements into actionable Epics, Stories, and Tasks that mature and improve customer data platforms while aligning to phData methodologies and best practices.
  • Ensure engagements are delivered on time, within scope, and on budget, with clear measures of success and value for customers.
  • Lead and motivate client technical teams, providing hands-on technical leadership for design, implementation, and ongoing operational support of cloud data platforms.
  • Provide leadership during major incidents, ensuring effective coordination, communication, escalation, and follow-through to resolution, root cause analysis, and remediation.
Collaboration & Leadership
  • Collaborate with cross-functional partners including architects, engineers, and site reliability/operations teams in the US and India to deliver successful client engagements and seamless handoffs across time zones.
  • Develop strong relationships with sponsors and stakeholders, keeping them informed of progress and outcomes, hosting leadership discussions, and identifying opportunities to expand the value of our services.
  • Ensure teams are trained and prepared to deliver by driving accurate process documentation, clear internal and external communication, and continuous readiness for production operations.
  • Maintain proper staffing levels across accounts, balancing delivery between US and India team members to support continuous delivery and high customer satisfaction.
Practice & Firm Contribution
  • Deliver feedback and drive improvements to our overall Managed Services offerings through process optimization, knowledge sharing, and creation of accelerators and reusable assets.
  • Champion phData's core values and foster a culture of accountability, ownership, and continuous improvement within delivery teams.
  • Contribute to the evolution of best practices for incident management, change management, and modern data platform operations across multiple customers.
Additional Responsibilities
  • Act as a trusted advisor to senior client stakeholders (Director and VP level), shaping roadmaps for cloud data platforms and influencing strategic decisions around data and analytics operations.
  • Mentor and coach architects, engineers, and operations team members, helping them grow technical depth and delivery capabilities across large and complex environments.
  • Help define and refine Managed Services standards, playbooks, and frameworks to support scalable growth across a broad customer base.
About You

You are a client-focused technical delivery leader who enjoys owning complex data platform operations, guiding teams through ambiguity, and building strong relationships with stakeholders. You are equally comfortable discussing architectural trade-offs with engineers and outcomes with business leaders, and you thrive in a remote, global, outcomes-driven environment.

Required QualificationsExperience
  • 5+ years of experience in technical management, IT architecture, customer relationship management, project management, and/or delivery management, ideally within data, analytics, or infrastructure operations.

Technical / Functional Skills

  • Hands-on experience with at least one major cloud platform, specifically Amazon Web Services (AWS) or Microsoft Azure.
  • Technical knowledge deploying and managing modern cloud data technologies such as Snowflake, dbt, Fivetran, Airflow, Redshift, Matillion, Databricks, Azure Synapse, Qlik, StreamSets, NiFi, Cloudera, Coalesce, and EMR (not all required but familiarity with several is expected).
  • Background in IT operations, infrastructure, or production support, including managing modern data platforms or data warehouses for multiple customers of various sizes.
  • Experience leading technical operations teams through multiple large or complex projects, including backlog creation (Epics, Stories, Tasks), prioritization, and delegation.
  • Experience scoping and planning large-scale, complex technology infrastructure or modern data platform initiatives.
  • Demonstrated ownership of incident and escalation processes, including coordination among technical teams, end-users, and stakeholders through resolution, root cause analysis, and remediation.
  • Active daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated output. 
  • Ability to describe specific engineering tasks completed with AI assistance.
Consulting / Delivery Skills
  • Experience delivering services for external or internal customers in a professional services, managed services, or similar client-facing environment, including direct interaction with global customers and business partners.
  • Ability to interact confidently with Director and VP level stakeholders, guiding discussions, building relationships, and communicating complex technical information in accessible ways (written, verbal, and formal presentations).
  • Proven experience coordinating across technical teams managing IT infrastructure services or modern data platforms for multiple customers concurrently.
  • Strong written and verbal communication skills in English.
Collaboration & Ownership
  • Demonstrated ability to lead and collaborate with distributed, cross-functional teams across regions (e.g., US, LATAM, and/or India) and time zones.
  • Strong leadership skills with a professional track record of creating, challenging, and improving processes and procedures.
  • Highly organized, strategic thinker, and effective problem-solver who can manage multiple priorities and accounts simultaneously with minimal supervision.
  • Flexibility to work across time zones as needed to support global teams and customers.
Education
  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience (degree preferred but not required).
Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

  • Experience managing IT or data operations/production support environments, including leading data warehouse, ML, or data engineering teams.
  • Experience working with cloud data platforms such as Snowflake, Databricks, and Azure Synapse in a multi-customer or managed services context.
  • Additional experience with tools such as Qlik, StreamSets, NiFi, Cloudera, or Coalesce.
  • Prior experience in a consulting, managed services, or MSP-style environment supporting multiple enterprise customers.
  • Prior experience working in global or remote teams and partnering across US, LATAM, and/or India.
  • Demonstrated passion and curiosity for learning new technologies and staying current with technology trends to inform business strategy.
  • Contributions to internal accelerators, process improvements, or knowledge sharing initiatives are a plus.
Location & Time Zone Expectations

This role is based in the US and operates primarily in Central or Eastern US time zones, with regular collaboration with teams in India and across the Americas.

  • We are a remote-first company, and you should be comfortable working with a distributed global team.
  • Some flexibility may be required to collaborate across time zones with colleagues and clients.
  • Client needs may occasionally require flexibility in working hours and willingness to travel for client visits, team workshops, and strategic planning sessions.
Why phData?
  • Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
  • Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
  • Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
  • Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.
Benefits at phData

US:

  • Remote-First Work Environment
  • 401k plan with company match
  • Dental and Vision insurance
  • Home Office Equipment Stipend
  • Annual stipend for Learning and Development
  • Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)