Skillenai

data migration jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-29, data migration appears in 995 job postings indexed by Skillenai over the past 90 days — Solution Architect has the most postings mentioning data migration, with demand share up 10.3% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-29

Postings · last 90 days
995
Demand vs prior month
up 10.3% vs the prior 4 weeks
Top role · 7.4% of skill postings
Solution Architect
Top hiring metro
London

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Frequently asked questions about data migration

+Is data migration in demand in 2026?

Yes. data migration appears in 995 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Solution Architect accounts for the most postings mentioning data migration (7.4% of all postings mentioning data migration).

+What jobs require data migration?

According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning data migration are Salesforce Business Analyst (15.0% of that role’s postings mention data migration), Salesforce Solution Architect (13.5% of that role’s postings mention data migration), Master Data Analyst (13.0% of that role’s postings mention data migration).

+What skills are commonly paired with data migration?

Across job postings indexed by Skillenai (90 days ending 2026-10-29), data migration most often appears alongside SQL, ETL, Python, data governance, Agile.

+Where is data migration most in demand?

As of 2026-10-29, the metro areas posting the most jobs requiring data migration are London, San Francisco, New York City, Bengaluru, Pune, according to the Skillenai jobs index.

+How can I keep up with new data migration content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning data migration alongside the jobs index. You can subscribe to a daily email digest of new data migration content from your Skillenai account.

+Which skills come before and after data migration?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring data migration — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around data migration

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data migration

Before data migrationsql → data migration: 21 observed employer moves with this skill pairpython → data migration: 19 observed employer moves with this skill pairTableau → data migration: 14 observed employer moves with this skill pairPower BI → data migration: 13 observed employer moves with this skill pairoracle → data migration: 7 observed employer moves with this skill pairJira → data migration: 7 observed employer moves with this skill pairdata analysis → data migration: 6 observed employer moves with this skill pairHTML → data migration: 6 observed employer moves with this skill pairdatamigrationsql: 21 movessql21 movespython: 19 movespython19 movesTableau: 14 movesTableau14 movesPower BI: 13 movesPower BI13 movesoracle: 7 movesoracle7 movesJira: 7 movesJira7 movesdata analysis: 6 movesdata analysis6 movesHTML: 6 movesHTML6 moves

Skills after data migration

After data migrationdata migration → sql: 14 observed employer moves with this skill pairdata migration → ETL: 13 observed employer moves with this skill pairdata migration → python: 12 observed employer moves with this skill pairdata migration → AWS: 11 observed employer moves with this skill pairdata migration → Excel: 11 observed employer moves with this skill pairdata migration → Tableau: 10 observed employer moves with this skill pairdata migration → Power BI: 8 observed employer moves with this skill pairdata migration → dashboards: 8 observed employer moves with this skill pairdatamigrationsql: 14 movessql14 movesETL: 13 movesETL13 movespython: 12 movespython12 movesAWS: 11 movesAWS11 movesExcel: 11 movesExcel11 movesTableau: 10 movesTableau10 movesPower BI: 8 movesPower BI8 movesdashboards: 8 movesdashboards8 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: sql21
Before: python19
Before: Tableau14
Before: Power BI13
Before: oracle7
Before: Jira7
Before: data analysis6
Before: HTML6
After: sql14
After: ETL13
After: python12
After: AWS11
After: Excel11
After: Tableau10
After: Power BI8
After: dashboards8

Roles most likely to require data migration

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Salesforce Business Analyst615.0%
Salesforce Solution Architect513.5%
Master Data Analyst313.0%
SAP Developer312.5%
Salesforce Architect1011.8%
Business Consultant310.7%
SAP Business Analyst29.5%
Engagement Manager58.1%
SAP Solution Architect37.3%
Data Modeler26.9%

Roles with the most data migration postings

RolePostings mentioning skillShare of skill postings
Solution Architect747.4%
Business Analyst656.5%
Data Engineer636.3%
Software Engineer545.4%
Solutions Architect383.8%
Technical Architect323.2%
Data Analyst303.0%
Data Architect282.8%
Product Manager242.4%
Database Administrator212.1%

Top companies posting jobs requiring data migration

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring data migration
CompanyPostings · 90 days
Accenture18
Salesforce17
Capco13
Airkit12
PwC11
Sopra Steria10
Hitachi10
Www.experis.com10
ProSidian Consulting9
CLERA9

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for data migration

NamePostingsShare
London242.4%
San Francisco212.1%
New York City191.9%
Bengaluru161.6%
Pune131.3%
Dublin121.2%
Hyderabad111.1%
Munich111.1%
Singapore111.1%

Skills commonly paired with data migration

SQL (302)ETL (209)Python (183)data governance (150)Agile (135)data modeling (129)Salesforce (124)data quality (101)APIs (101)data validation (95)

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning data migration by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data migration postings by all data migration postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.3% to 0.4%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
388df82215ce49f5
data_as_of
2026-10-29
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index