data lifecycle management jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, data lifecycle management appears in 198 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning data lifecycle management, with demand share down 13.3% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want data lifecycle management?
Upload your resume and Skillenai will show which roles your data lifecycle management experience fits, which skills you already cover, and what is missing.
Frequently asked questions about data lifecycle management
+Is data lifecycle management in demand in 2026?
Yes. data lifecycle management appears in 198 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Software Engineer accounts for the most postings mentioning data lifecycle management (11.6% of all postings mentioning data lifecycle management).
+What jobs require data lifecycle management?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning data lifecycle management are Storage Architect (13.6% of that role’s postings mention data lifecycle management), Data Security Engineer (6.9% of that role’s postings mention data lifecycle management), Data Product Owner (5.1% of that role’s postings mention data lifecycle management).
+What skills are commonly paired with data lifecycle management?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), data lifecycle management most often appears alongside data governance, data quality, SQL, data modeling, Python.
+Where is data lifecycle management most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring data lifecycle management are London, San Francisco, Chicago, Huntsville, Petaling Jaya, according to the Skillenai jobs index.
+How can I keep up with new data lifecycle management content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data lifecycle management alongside the jobs index. You can subscribe to a daily email digest of new data lifecycle management content from your Skillenai account.
+Which skills come before and after data lifecycle management?
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 lifecycle management — last 90 days
Career paths around data lifecycle management
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data lifecycle management
Skills after data lifecycle management
No published outgoing skill pairs yet.
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.
| Connection | Moves |
|---|---|
| Before: upgrades | 1 |
| Before: Oracle Support | 1 |
| Before: high availability | 1 |
| Before: automation routines | 1 |
| Before: 24x7 database support | 1 |
| Before: Maintenance packs | 1 |
| Before: custom schemas | 1 |
| Before: cloning | 1 |
Roles most likely to require data lifecycle management
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Storage Architect | 3 | 13.6% |
| Data Security Engineer | 2 | 6.9% |
| Data Product Owner | 2 | 5.1% |
| Customer Program Manager | 1 | 4.0% |
| Data Governance Manager | 1 | 3.7% |
| Technology Architect | 2 | 3.6% |
| Data Platform Architect | 1 | 3.2% |
| Financial Data Analyst | 1 | 3.2% |
| Data Product Manager | 3 | 3.2% |
| Database Architect | 1 | 2.8% |
Roles with the most data lifecycle management postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 23 | 11.6% |
| Data Engineer | 17 | 8.6% |
| Data Architect | 11 | 5.6% |
| Data & AI Governance Manager | 6 | 3.0% |
| Product Manager | 6 | 3.0% |
| Data Scientist | 5 | 2.5% |
| Solution Architect | 4 | 2.0% |
| Business Analyst | 3 | 1.5% |
| Data Governance Specialist | 3 | 1.5% |
| Data Product Manager | 3 | 1.5% |
Top companies posting jobs requiring data lifecycle management
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Wise | 14 |
| Anthropic | 5 |
| Mercury | 5 |
| Roche | 5 |
| Bah | 5 |
| ProSidian Consulting | 4 |
| Capital One | 4 |
| Sopra Steria | 4 |
| ING | 4 |
| HPE | 3 |
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 lifecycle management
| Name | Postings | Share |
|---|---|---|
| London | 10 | 5.1% |
| San Francisco | 6 | 3.0% |
| Chicago | 4 | 2.0% |
| Huntsville | 4 | 2.0% |
| Petaling Jaya | 4 | 2.0% |
| Silver Spring | 4 | 2.0% |
| Alexandria | 3 | 1.5% |
| Atlanta | 3 | 1.5% |
| Bucharest | 3 | 1.5% |
Skills commonly paired with data lifecycle management
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 2026-10-30. 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 lifecycle management by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data lifecycle management postings by all data lifecycle management 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: 0.1% to 0.1%. 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
- a32538d2ac4a7732
- data_as_of
- 2026-10-30
- window_days
- 90