Pipeline run

fc829bda-6a1e-4086-befc-133024825a6d

Pipeline LLM cost (USD)

API 1: $0.0034 API 2: $0.0003 API 3: $0.0000 Total: $0.0037

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description

role baseline loaded sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd

Nature of work · Data pipeline development

Build and maintain cloud-to-warehouse data pipelines, keep ETL/BI and warehouse tooling running, and document lineage while partnering with data/analytics teams to deliver trusted self-service datasets and improve standards.

"Design and build data pipelines from various cloud data sources for the enterprise data warehouse."

Tech stack maturity

Mainstream Modern

AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)

0.00 / 5

· Title match

· Has AI skill

· AI skill (primary)

· AI skill (secondary)

· On AI team

· Builds AI products

vocab breakdown (legacy)

Assistants (×1): —

Frameworks (×2): —

Models / concepts (×3): —

Evidence — skills matched in JD (8)

Data Pipelines Cloud Data Sources Data Warehouse ETL BI Tools Data Lineage Standards Best Practices

Skill cluster (1 dimension groups, role-scoped)

Cross-cutting / unaligned

Data Pipelines Cloud Data Sources Data Warehouse ETL BI Tools Data Lineage Standards Best Practices

Show KRA description ↓

Design and build data pipelines from various cloud data sources for the enterprise data warehouse. Partner with Data Engineers, Data architects, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service. Own and document data pipelines and data lineage. Support and Maintain analytics tech ecosystem (data warehouse, ETL and BI tools). Continuously identify areas of improvement and ensure application of standards and best practices.

Signals

Skill —

—

Alias data-engineer

1.00

KRA data-engineer

0.66

Post-classification

Centroidupdated · n=361

Alias collision log—

New-role queue—

New skills captured8

New KRA captured—

Captured for admin review

Data Pipelines primary ↔ Data Engineer pending

Cloud Data Sources primary ↔ Data Engineer pending

Data Warehouse primary ↔ Data Engineer pending

ETL primary ↔ Data Engineer pending

BI Tools primary ↔ Data Engineer pending

Data Lineage ↔ Data Engineer pending

Standards ↔ Data Engineer pending

Best Practices ↔ Data Engineer pending

Status: completed Created: 2026-05-27T15:54:12.473633Z Updated: 2026-06-12T15:47:14.033112Z API 3 duration: 2063 ms

Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Data Engineer

CASE A

slug: data-engineer · id: 2 · source: db

Exact alias hit on data-engineer (1.0) — no other alias at this confidence; skill_top absent does not contradict

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

New skills

Skill↔dim saved

Role↔dim saved

Skipped

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Products and Technology Job Details

Senior Data Engineer (Sales & CS)

As a Data Engineer, working in our Business Technology - Data and Analytics team, you will be working cross-functionally with business domain experts, analytics, and engineering teams to design and build data pipelines for our Data Warehouse. The data pipelines you build and maintain will enable our business partners and decision makers to get actionable insights from our Product and Corporate Systems. You would also be responsible for enhancements and maintaining our data warehouse.

This is a great role for people passionate about working with data and data systems, and who love solving problems. It is for people who love technical challenges and are always looking for ways to improve existing software, processes and infrastructure. They are self-starters, detail and quality oriented.

In short, we are looking for someone who takes pride in the craft and wants to be part of a team of talented data engineers and architects working to further Slack’s growth. If this role has your name written all over it, please contact us with a resume so that we can explore further.

Responsibilities

Design and build data pipelines from various cloud data sources for the enterprise data warehouse Partner with Data Engineers, Data architects, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service Own and document data pipelines and data lineage Support and Maintain analytics tech ecosystem (data warehouse, ETL and BI tools) Continuously identify areas of improvement and ensure application of standards and best practices

Requirements

BS degree in Computer Science or other engineering discipline. 5+ years of experience working as a Data Engineer or a similar role. 2+ years of experience working with Sales data analytics or sourcing data from sales systems Very strong experience in writing complex SQLs and dimensional modeling Hands-on experience working with data warehouse technologies (Snowflake, Redshift) and Big Data technologies (e.g Hadoop, Hive, Spark) Hands on experience building data pipelines using ETL tools (e.g. Informatica, Matillion, Snaplogic) sourcing data from SaaS applications Proficiency with Python Ability to work on multiple areas like Data pipeline ETL, Data modeling & design, writing complex SQL queries etc. Ability to build the automation processes for the data quality and data reconciliation Understanding of CRM systems such as Salesforce is a big plus. Understanding of sales metrics for SaaS companies is a big plus. Proficiency in Airflow is a big plus. Passionate about various technologies including but not limited to SQL/No SQL/MPP databases etc. Excellent written and verbal communication and interpersonal skills, able to effectively collaborate with technical and business partners

Slack is the collaboration hub of choice for companies of all sizes, all across the world. By using Slack, they ensure that the right people are always in the loop, that key information is always at their fingertips, and new team members can get up to speed easily. With Slack, teams are better connected.

Launched in February 2014, Slack is the fastest growing business application ever and is used by thousands of teams and millions of users every day. We currently have many offices worldwide, including in San Francisco, Vancouver, Dublin, Melbourne, New York, London, Tokyo, Toronto, Denver and Pune.

Ensuring a diverse and inclusive workplace where we learn from each other is core to Slack's values. We welcome people of different backgrounds, experiences, abilities and perspectives. We are an equal opportunity employer and a pleasant and supportive place to work. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Come do the best work of your life here at Slack.

Accommodations

If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .

Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits.

Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org .

Salesforce welcomes all.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Data Pipelines Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)