Senior Salesforce Data Engineer
Cirrius Solutions
- Location
- Global
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 115,000–135,000/yr
Posted 1mo ago
Salesforce Data Engineer at Cirrius Solutions
Cirrius Solutions Salesforce Data Engineer Remote
- Full time Apply for Salesforce Data Engineer
The Salesforce Data Engineer at Cirrius Solutions owns the execution of data migration on enterprise Salesforce implementations - turning a migration strategy and data model into a working, validated cutover.
This is a senior hands-on technical role
the Data Engineer builds and runs the source-to-target mapping, ETL/ELT pipelines, cleansing and deduplication processes, and cutover mechanics that move client data from legacy systems into Salesforce (and where relevant, the Databricks lakehouse). The role reports into the Data Architect on each engagement, partners closely with delivery pods and client data teams, and can support migration workstreams across multiple engagements.
About Cirrius Solutions
Cirrius Solutions guides businesses through their digital transformation journey with a focus on Field Service Automation and Quote-to-Cash implementations. As a leading CRM solutions provider, we are focused on helping our clients modernize their business processes through our strategic methodology using the industry-leading Salesforce platform and backend ERP integrations. We are one of the very few consultancies in the ecosystem with a customer satisfaction rating in the top 1% of all Salesforce partners. This accomplishment is directly attributed to the forward-thinking teams that we have created. If you’re passionate about making a difference, working as part of a high-performing team, solving client problems, and learning new things every day, we have a spot for you!
Description
Cirrius Solutions is a rapidly growing Salesforce implementation consulting partner with a collaborative team-based approach for project delivery. We are organized into consulting pods of 4-6 consultants who work together on each project. Our pod model approach allows us to build strong cohesive teams that provide better value to clients and a better experience to our employees!
The Salesforce Data Engineer is the migration execution owner on our engagements. You will take the data model, migration strategy, and governance standards set by the Data Architect and turn them into a concrete, repeatable migration process - build the pipelines, run the load cycles, validate the results, and lead the pod through cutover.
This is a hands-on delivery role that requires deep, practical experience moving large volumes of data into Salesforce and a solid working knowledge of modern cloud data tooling.
What you will be doing as a Salesforce Data Engineer at Cirrius Solutions:
- Build and execute the source-to-target mapping defined with the Data Architect, translating it into working ETL/ELT pipelines
- Lead data cleansing, deduplication, and validation cycles ahead of each load, and troubleshoot data quality issues as they surface
- Plan and run mock loads, full-load cycles, and cutover, coordinating timing and sequencing with the delivery pod and
client stakeholders
- Implement and tune large-volume load jobs against Salesforce, applying LDV best practices (batching, API selection, indexing-aware queries, sequencing) to keep loads performant and within governor limits
- Build and maintain the pipelines that move data between legacy sources, Salesforce, and the Databricks lakehouse, following the integration and zero-copy/federation patterns the Data Architect has designed
- Apply the data governance, stewardship, and survivorship rules defined by the Data Architect during migration, flagging gaps or edge cases back to the architect
- Maintain migration documentation - mapping specs, transformation logic, load run books, exception logs, and validation results - so the process is auditable and repeatable
- Support post-go-live data reconciliation, archiving, and cleanup activities
- Partner with the Data Architect, delivery pod, and client data teams; surface migration risks, blockers, and data quality findings early and clearly
- Mentor junior team members on migration tooling and best practices where needed
Requirements
- 4+ years of hands-on Salesforce data migration experience on enterprise-scale implementations
- Salesforce Certified Administrator; Data Architect or Application Architect certification a plus
- Strong working knowledge of Salesforce data modeling - standard/custom objects, relationships, and how structure affects migration approach
Practical ETL/ELT experience
building and running data load pipelines, source-to-target mapping, cleansing, deduplication, and validation at scale
- Experience with Salesforce data load tooling (Data Loader, Bulk API, Bulk API 2.0) and troubleshooting large-volume load issues
- Understanding of Large Data Volume (LDV) considerations - indexing, selective queries, batching strategy, and governor limits
- Working knowledge of SQL and data transformation logic
- Exposure to cloud data platforms or lakehouse environments (Databricks preferred) and moving data between Salesforce and external systems
- Familiarity with integration patterns (REST/Bulk APIs, Platform Events, Change Data Capture) as they relate to migration and data sync
- Strong attention to detail and comfort owning validation and sign-off on data accuracy before and after cutover
- Clear communicator, able to explain data quality issues and migration status to both technical and non-technical stakeholders
- Ability to support one or more concurrent migration workstreams across engagements
Bonus Skills
- Experience with ETL/data pipeline tooling (e.g., MuleSoft, Informatica, Talend, dbt, or Fivetran)
- Familiarity with Databricks (Delta Lake, notebooks, Spark) or other cloud data warehouse/lakehouse platforms
- Experience with data governance or MDM concepts (stewardship, survivorship rules, reference data)
- Salesforce Certified Data Architect or Data Cloud Consultant
- Experience with Shield Platform Encryption or regulatory/compliance-driven migrations (GDPR, CCPA, HIPAA)
- Scripting experience (Python, Apex) for custom transformation or validation logic
About Cirrius Solutions and why you will love it:
- Our company is growing rapidly with 25% growth year over year, be a part of a rapidly growing team with an entrepreneurial environment!
- We believe that as a Company we always need to do everything possible to set our consultants up for success; our pod-model means that you will always have someone to the left and right of you to collaborate with and tackle problems to provide solutions.
- We are a leader in providing Salesforce Field Service and Revenue Cloud solutions. We focus our delivery and sales
around these pieces of the platform to continually grow our competency on them.
- We are 100% remote! Work from anywhere!
- We have very competitive pay, benefits packages and PTO
- We invest our time, effort, and resources into developing our consultants' talent to ensure they are afforded the opportunity to continually learn and grow for long-term success. Each pod's Team Technical Lead works with team members to make tailor-made talent development plans and continually works with the team member to drive success.
- Cirrius Solutions supports the Pledge 1% program, use your time to help make a difference for good!
- Served in the military or a military spouse? Cirrius Solutions is proud to support those who served in the armed forces; in fact, over 33% of hires since 2019 have come from the veteran and military spouse communities!
Cirrius Solutions Inc. is a Salesforce Summit Consulting Partner that is focused on providing best-in-class Salesforce Revenue Cloud, Agentforce, and Field Service solutions to clients. Our pod model approach ensures that we provide the best teams to our clients to drive business value off of the Salesforce platform as well as provide the best experience to our remote-based Cirrius employees.
Salary
$115,000 - $135,000 per year
Apply for Salesforce Data Engineer
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Skills
- Salesforce
- Databricks
- Data Loader
- Bulk API
- Bulk API 2.0
- SQL
- Delta Lake
- Spark
- MuleSoft
- Informatica
- Talend
- dbt
- Fivetran
- Python
- Apex
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