Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Data Migration Architect
Miami, FL
Live, first seen by us 26 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingWe're seeking a hands-on ETL Lead / Data Migration Architect to lead the migration of quote-to-cash data from Salesforce CPQ and NetSuite into Salesforce Revenue Cloud Advanced (RCA) and Oracle.
Define migration strategy, architecture, and cutover roadmap
Map CPQ and NetSuite data into the Salesforce RCA data model
Map financial and order data into Oracle via FBDI, APIs, or OIC
Run validation and reconciliation with business sign-off
Lead and mentor onshore and offshore developers and analysts
From the employer’s posting
We're seeking a hands-on ETL Lead / Data Migration Architect to lead the migration of quote-to-cash data from Salesforce CPQ and NetSuite into Salesforce Revenue Cloud Advanced (RCA) and Oracle. You'll own the end-to-end strategy, from source analysis and mapping through transformation, reconciliation, and cutover, and lead a team of ETL developers. The ideal candidate knows the Salesforce, NetSuite, and Oracle data models and can translate legacy CPQ and ERP structures into RCA without losing commercial or financial integrity.
Define migration strategy, architecture, and roadmap
Map CPQ data into the RCA model
Map financial and order data into Oracle (Fusion Cloud ERP / EBS) via FBDI, REST/SOAP APIs, or Oracle Integration Cloud.
Run validation and reconciliation (record counts, financial totals, ARR/MRR, open balances, subscription terms) with business sign-off.
Lead and mentor onshore/offshore developers and analysts; review designs and code.
What you’ll bring
All qualificationsCore experience
- 8+ years in data engineering/ETL, including 3+ years as a lead or architect on large-scale migrations.
- Strong knowledge of the Salesforce CPQ data model and quote-to-cash processes.
- Expertise in an enterprise ETL tool (Informatica, MuleSoft, Boomi, Talend, Jitterbit, Azure Data Factory, or similar).
- Proficiency with Bulk API 2.0, REST/SOAP APIs, and Data Loader, including governor limits, external IDs, and record ownership.
- Proven ability to build reconciliation frameworks that satisfy Finance and audit.
- Excellent communication with technical and business stakeholders.
Preferred experience
- Python for transformation, profiling, and automation.
Qualification wording
8+ years in data engineering/ETL, including 3+ years as a lead or architect on large-scale migrations.
Strong knowledge of the Salesforce CPQ data model and quote-to-cash processes.
Expertise in an enterprise ETL tool (Informatica, MuleSoft, Boomi, Talend, Jitterbit, Azure Data Factory, or similar).
Proficiency with Bulk API 2.0, REST/SOAP APIs, and Data Loader, including governor limits, external IDs, and record ownership.
Proven ability to build reconciliation frameworks that satisfy Finance and audit.
Excellent communication with technical and business stakeholders.
Python for transformation, profiling, and automation.
About Kaseya Careers
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 19, 202626 days ago
- Recorded sightings
- 47
- Last seen by us
- Nov 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 26
Similar jobs usually come down between day 6 and day 56.
At Kaseya Careers, jobs usually come down by about day 38.
From 13,718 similar postings that came down, and 16 of Kaseya Careers’s. Coming down is not always a hire.
Kaseya Careers is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Azure
- Boomi
- Informatica
- MuleSoft
- Oracle
- PostgreSQL
- Snowflake
- SQL Server
- Talend
Where the posting names them
- Data Cloud experience. - Python for transformation, profiling, and automation. - Data governance, MDM, and data quality tools.
- Proficiency with Bulk API 2.0, REST/SOAP APIs, and Data Loader, including governor limits, external IDs, and record ownership. - Advanced SQL and staging database experience (Oracle, SQL Server, Snowflake, PostgreSQL). - Proven ability to build reconciliation frameworks that satisfy Finance and audit.
- NetSuite extraction experience: SuiteQL, Saved Searches, SuiteTalk (SOAP/REST), CSV exports; familiarity with SuiteBilling and revenue recognition. - Expertise in an enterprise ETL tool (Informatica, MuleSoft, Boomi, Talend, Jitterbit, Azure Data Factory, or similar). - Proficiency with Bulk API 2.0, REST/SOAP APIs, and Data Loader, including governor limits, external IDs, and record ownership.
Your next step
Complete your application on www.kaseya.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About Kaseya
Kaseya is the leading provider of AI-powered IT management and cybersecurity software, serving Managed Service Providers (MSPs) and internal IT organizations worldwide. Our comprehensive platform helps organizations efficiently manage, secure, and automate their IT environments, driving operational efficiency and long-term business success.
Backed by Insight Partners, a leading global software investor, Kaseya has experienced sustained double-digit growth and continues to expand its global footprint. Today, Kaseya supports customers in more than 20 countries and manages over 15 million endpoints worldwide.
Founded in 2000, Kaseya was built by builders - and we're still building. We look for people who create rather than wait, who see a hard problem and lean in, and who treat challenges as raw material. At Kaseya, everyone plays a role in shaping the future of IT: whether you're in engineering, product, sales, marketing, customer support, or operations, your work helps protect, defend, and optimize IT environments across the globe.
We're building teams that grow, perform, and make an impact. If you're driven by the itch to make things better - a product, a process, a career - you'll fit right in.
At Kaseya, we don't just raise the bar. We build it.
Position Summary
We're seeking a hands-on ETL Lead / Data Migration Architect to lead the migration of quote-to-cash data from Salesforce CPQ and NetSuite into Salesforce Revenue Cloud Advanced (RCA) and Oracle. You'll own the end-to-end strategy, from source analysis and mapping through transformation, reconciliation, and cutover, and lead a team of ETL developers. The ideal candidate knows the Salesforce, NetSuite, and Oracle data models and can translate legacy CPQ and ERP structures into RCA without losing commercial or financial integrity.
Key Responsibilities
- Define migration strategy, architecture, and roadmap (phased vs. big-bang, mock loads, dress rehearsals, production cutover).
- Design scalable, repeatable ETL pipelines aligned with target RCA and Oracle configuration, with standards for error handling, logging, and restart/recovery.
- Profile CPQ objects (quotes, quote lines, subscriptions, contracts, assets, price/product rules, bundles) and NetSuite records (customers, items, orders, invoices, SuiteBilling subscriptions, revenue arrangements).
- Map CPQ data into the RCA model: Product Catalog Management, Pricing Procedures, Product Configurator, Transaction Management, DRO, and Billing.
- Map financial and order data into Oracle (Fusion Cloud ERP / EBS) via FBDI, REST/SOAP APIs, or Oracle Integration Cloud.
- Own transformation logic for amendments, renewals, co-termination, ramp deals, usage-based pricing, multi-currency, and in-flight contracts/orders.
- Run validation and reconciliation (record counts, financial totals, ARR/MRR, open balances, subscription terms) with business sign-off.
- Drive data cleansing, deduplication, and enrichment with business data owners.
- Optimize loads using Bulk API 2.0, parallel processing, and dependency-aware sequencing within platform limits.
- Lead and mentor onshore/offshore developers and analysts; review designs and code.
- Serve as primary contact for migration status, risks, and issues with leadership, Finance, Sales Ops, and IT.
- Produce mapping specs, runbooks, cutover plans, reconciliation reports, and data dictionaries.
Required Qualifications
- 8+ years in data engineering/ETL, including 3+ years as a lead or architect on large-scale migrations.
- Strong knowledge of the Salesforce CPQ data model and quote-to-cash processes.
- Hands-on or working knowledge of Salesforce RCA and its data model.
- NetSuite extraction experience: SuiteQL, Saved Searches, SuiteTalk (SOAP/REST), CSV exports; familiarity with SuiteBilling and revenue recognition.
- Expertise in an enterprise ETL tool (Informatica, MuleSoft, Boomi, Talend, Jitterbit, Azure Data Factory, or similar).
- Proficiency with Bulk API 2.0, REST/SOAP APIs, and Data Loader, including governor limits, external IDs, and record ownership.
- Advanced SQL and staging database experience (Oracle, SQL Server, Snowflake, PostgreSQL).
- Proven ability to build reconciliation frameworks that satisfy Finance and audit.
- Excellent communication with technical and business stakeholders.
Preferred Qualifications
- Salesforce certifications: Revenue Cloud Consultant, CPQ Specialist, or Data Architect.
- CPQ-to-RCA migration experience, including in-flight subscriptions and contracts.
- Data Cloud experience.
- Python for transformation, profiling, and automation.
- Data governance, MDM, and data quality tools.
- Agile delivery with global teams.
Additional information
Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Miami, FL
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Agile delivery with global teams. Additional information Kaseya provides equal employment opportunity to all employees and applicants without regard to race, religion, age, ancestry, gender, sex, sexual orientation, national origin, citizenship status, physical or mental disability, veteran status, marital status, or any other characteristic protected by applicable law.