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

As of 2026-10-14, data cataloging appears in 219 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data cataloging, with demand share up 3.9% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-14

Postings · last 90 days
219
Demand vs prior month
up 3.9% vs the prior 4 weeks
Top role · 19.2% of skill postings
Top hiring metro
New York City

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Frequently asked questions about data cataloging

+Is data cataloging in demand in 2026?

Yes. data cataloging appears in 219 job postings indexed by Skillenai over the 90 days ending 2026-10-14. Data Engineer accounts for the most postings mentioning data cataloging (19.2% of all postings mentioning data cataloging).

+What jobs require data cataloging?

According to the Skillenai jobs index over the 90 days ending 2026-10-14, among roles with at least 20 postings, the highest shares mentioning data cataloging are Data Solutions Architect (8.7% of that role’s postings mention data cataloging), Data Analytics Lead (8.3% of that role’s postings mention data cataloging), BI Engineer (6.2% of that role’s postings mention data cataloging).

+What skills are commonly paired with data cataloging?

Across job postings indexed by Skillenai (90 days ending 2026-10-14), data cataloging most often appears alongside data governance, data lineage, SQL, data quality, data modeling.

+Where is data cataloging most in demand?

As of 2026-10-14, the metro areas posting the most jobs requiring data cataloging are New York City, Boston, Toronto, Chicago, Hamburg, according to the Skillenai jobs index.

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

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

+Which skills come before and after data cataloging?

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 cataloging — last 90 days

Career paths around data cataloging

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before data cataloging

Before data catalogingci/cd → data cataloging: 2 observed employer moves with this skill pairoracle → data cataloging: 2 observed employer moves with this skill pairPower BI → data cataloging: 2 observed employer moves with this skill pairsql → data cataloging: 2 observed employer moves with this skill pairRedshift → data cataloging: 2 observed employer moves with this skill pairJira → data cataloging: 2 observed employer moves with this skill pairsnowflake → data cataloging: 2 observed employer moves with this skill pairdata quality workflows → data cataloging: 1 observed employer moves with this skill pairdatacatalogingci/cd: 2 movesci/cd2 movesoracle: 2 movesoracle2 movesPower BI: 2 movesPower BI2 movessql: 2 movessql2 movesRedshift: 2 movesRedshift2 movesJira: 2 movesJira2 movessnowflake: 2 movessnowflake2 movesdata quality workflows: 1 movesdata qualityworkflows1 moves

Skills after data cataloging

After data catalogingdata cataloging → Apache Kafka: 1 observed employer moves with this skill pairdata cataloging → AWS Glue: 1 observed employer moves with this skill pairdata cataloging → Apache Airflow: 1 observed employer moves with this skill pairdata cataloging → Great Expectations: 1 observed employer moves with this skill pairdata cataloging → S3: 1 observed employer moves with this skill pairdata cataloging → dbt: 1 observed employer moves with this skill pairdata cataloging → AWS Redshift: 1 observed employer moves with this skill pairdata cataloging → infrastructure-as-code: 1 observed employer moves with this skill pairdatacatalogingApache Kafka: 1 movesApache Kafka1 movesAWS Glue: 1 movesAWS Glue1 movesApache Airflow: 1 movesApache Airflow1 movesGreat Expectations: 1 movesGreat Expectations1 movesS3: 1 movesS31 movesdbt: 1 movesdbt1 movesAWS Redshift: 1 movesAWS Redshift1 movesinfrastructure-as-code: 1 movesinfrastructure-as…1 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: ci/cd2
Before: oracle2
Before: Power BI2
Before: sql2
Before: Redshift2
Before: Jira2
Before: snowflake2
Before: data quality workflows1
After: Apache Kafka1
After: AWS Glue1
After: Apache Airflow1
After: Great Expectations1
After: S31
After: dbt1
After: AWS Redshift1
After: infrastructure-as-code1

Roles most likely to require data cataloging

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

RolePostings mentioning skill% of role postings mentioning skill
Data Solutions Architect28.7%
Data Analytics Lead38.3%
BI Engineer36.2%
Cloud Data Architect15.0%
Enterprise Solution Architect14.3%
SQL Database Administrator14.0%
Analytics Engineering Manager13.6%
Data Product Manager33.3%
Data Architect203.2%
Database Architect13.1%

Roles with the most data cataloging postings

RolePostings mentioning skillShare of skill postings
Data Engineer4219.2%
Data Architect209.1%
Data Analyst115.0%
Analytics Engineer83.7%
Product Manager83.7%
Software Engineer83.7%
Data Engineering Manager52.3%
AI Engineer41.8%
Solution Architect41.8%
BI Engineer31.4%

Top companies posting jobs requiring data cataloging

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

Top companies posting jobs requiring data cataloging
CompanyPostings · 90 days
Collibra6
Audax Group5
ABOUT YOU SE & Co. KG5
Xanadu4
Bah4
INSPYR Solutions3
MyFitnessPal3
Applied Systems3
Nexthink3
Roche3

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 cataloging

NamePostingsShare
New York City115.0%
Boston94.1%
Toronto83.7%
Chicago52.3%
Hamburg52.3%
Madrid52.3%
Brussels41.8%
Bengaluru31.4%
Florida City31.4%

Skills commonly paired with data cataloging

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-14. 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 cataloging by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data cataloging postings by all data cataloging 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 2,614 identified employers and covers 71% of earlier and 72% of latest indexed postings. Windows: 2026-06-16 to 2026-09-14 and 2026-07-14 to 2026-10-12 (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
852f81782b870d99
data_as_of
2026-10-14
window_days
90
Hiring engineers who use data cataloging?

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index