Data and AI Architect

Remote

Actively hiring, first seen by us today

Pay: $140,000/year — pay source
Governance & MSP: Experience leading data governance; background in managed services or IT services. Starting Compensation Range: $140,000 per year The salary for this position is commensurate with experience, skills, and qualifications. The range is intended to reflect our commitment to attracting top talent, and the final offer will be based on factors including, but not limited to, the candidate's previous experience, expertise in the field, relevant certifications, and the specific requirements of the role. In addition, internal equity, market trends, and geographic location may also influence the final salary.
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Work setting: Remote — work setting source
DATA & AI ARCHITECT This is a fully remote position PURPOSE:
Listed location: Remote
Read the full posting
Employment: Not stated

What you’ll work on

Full posting

Own the platform roadmap and architecture, directing staff and engineering partners
Design and maintain dbt models, semantic layer, and data quality tests
Administer PostgreSQL and run automated pipeline deployments with Prefect and GitHub Actions
Manage access controls, encryption, and credential management
Chair the Data Governance Committee and keep data standards current

From the employer’s posting

Own the platform roadmap and architecture, setting priorities and directing work across staff and engineering partners.

Design and maintain dbt models, the semantic layer, and data quality tests that keep reported numbers trusted.

Administer PostgreSQL, including performance, backup and recovery, and monitoring, and run automated, repeatable pipeline deployments (Prefect, GitHub Actions)

Manage security and access: implement appropriate access controls, data protection measures, encryption, and credential management practices.

Chair the Data Governance Committee, working with system owners and data stewards to keep definitions, standards, and data quality current.

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Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 3, 2026today
Recorded sightings: 2
Last seen by us: Nov 4, 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

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Ascend Technologies is hiring

2 open jobs

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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
dbt
PostgreSQL
Power BI
Prefect
Airflow

Where the posting names them

THE ENVIRONMENT: Ascend uses a modern, cloud-based data and analytics environment incorporating technologies such as PostgreSQL, Azure, and Python to support business intelligence, data integration, automation, and AI-enabled solutions. The environment emphasizes security, governance, and scalability. You will work alongside our Data Analytics and Reporting Lead and our engineering partners, and you will be the technical lead for what gets built. Tools you’ll use: PostgreSQL, dbt, Prefect, Azure, Python, GitHub / GitHub Actions, Power BI, Claude / Claude Code, MCP, n8n, Salesforce, ServiceNow, Sage Intacct, Paylocity.

Ascend uses a modern, cloud-based data and analytics environment incorporating technologies such as PostgreSQL, Azure, and Python to support business intelligence, data integration, automation, and AI-enabled solutions. The environment emphasizes security, governance, and scalability. You will work alongside our Data Analytics and Reporting Lead and our engineering partners, and you will be the technical lead for what gets built. Tools you’ll use: PostgreSQL, dbt, Prefect, Azure, Python, GitHub / GitHub Actions, Power BI, Claude / Claude Code, MCP, n8n, Salesforce, ServiceNow, Sage Intacct, Paylocity. RESPONSIBILITIES:- Own the platform roadmap and architecture, setting priorities and directing work across staff and engineering partners.

- Cloud: Working knowledge of Azure or a similar cloud, including networking and identity. - Python: Able to build and maintain pipelines and automation in Python. - CI/CD: Experience building automated deployment pipelines (GitHub Actions or equivalent).

MINIMUM SKILLS, EDUCATION AND EXPERIENCE:- Experience: At least 5+ years in data engineering, database administration, data architecture, or a similar role. - PostgreSQL & SQL: Strong SQL and hands-on database administration, including performance tuning, backup, and recovery. - Modern Data Stack: Experience with dbt (or equivalent transformation tools) and orchestration tools such as Prefect or Airflow.

- Modern Data Stack: Experience with dbt (or equivalent transformation tools) and orchestration tools such as Prefect or Airflow. - Cloud: Working knowledge of Azure or a similar cloud, including networking and identity. - Python: Able to build and maintain pipelines and automation in Python.

RESPONSIBILITIES:- Own the platform roadmap and architecture, setting priorities and directing work across staff and engineering partners. - Design and maintain dbt models, the semantic layer, and data quality tests that keep reported numbers trusted. - Administer PostgreSQL, including performance, backup and recovery, and monitoring, and run automated, repeatable pipeline deployments (Prefect, GitHub Actions) with no dependence on any one person’s machine or credentials.

- PostgreSQL & SQL: Strong SQL and hands-on database administration, including performance tuning, backup, and recovery. - Modern Data Stack: Experience with dbt (or equivalent transformation tools) and orchestration tools such as Prefect or Airflow. - Cloud: Working knowledge of Azure or a similar cloud, including networking and identity.

- Design and maintain dbt models, the semantic layer, and data quality tests that keep reported numbers trusted. - Administer PostgreSQL, including performance, backup and recovery, and monitoring, and run automated, repeatable pipeline deployments (Prefect, GitHub Actions) with no dependence on any one person’s machine or credentials. - Manage security and access: implement appropriate access controls, data protection measures, encryption, and credential management practices.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

DATA & AI ARCHITECT

This is a fully remote position

PURPOSE:

The Data & AI Architect is Ascend Technologies’ technical owner of its enterprise data and AI platform. This person sets the roadmap and designs, builds, secures, and operates the data infrastructure supporting reporting, automation, and AI applications. They keep data trusted, protected, and ready to scale, working hands-on across the database, pipelines, and AI integrations, and they chair the Data Governance Committee. Over time, the role grows into the architectural authority for how Ascend uses data and AI: a partner to every team that builds on the platform.

THE ENVIRONMENT:

Ascend uses a modern, cloud-based data and analytics environment incorporating technologies such as PostgreSQL, Azure, and Python to support business intelligence, data integration, automation, and AI-enabled solutions. The environment emphasizes security, governance, and scalability. You will work alongside our Data Analytics and Reporting Lead and our engineering partners, and you will be the technical lead for what gets built.

Tools you’ll use: PostgreSQL, dbt, Prefect, Azure, Python, GitHub / GitHub Actions, Power BI, Claude / Claude Code, MCP, n8n, Salesforce, ServiceNow, Sage Intacct, Paylocity.

RESPONSIBILITIES:

Own the platform roadmap and architecture, setting priorities and directing work across staff and engineering partners.
Design and maintain dbt models, the semantic layer, and data quality tests that keep reported numbers trusted.
Administer PostgreSQL, including performance, backup and recovery, and monitoring, and run automated, repeatable pipeline deployments (Prefect, GitHub Actions) with no dependence on any one person’s machine or credentials.
Manage security and access: implement appropriate access controls, data protection measures, encryption, and credential management practices.
Chair the Data Governance Committee, working with system owners and data stewards to keep definitions, standards, and data quality current.
Design and operate secure AI integrations, and guide the build of AI-native applications and automations from prototype to production.
Other responsibilities as assigned by management

MINIMUM SKILLS, EDUCATION AND EXPERIENCE:

Experience: At least 5+ years in data engineering, database administration, data architecture, or a similar role.
PostgreSQL & SQL: Strong SQL and hands-on database administration, including performance tuning, backup, and recovery.
Modern Data Stack: Experience with dbt (or equivalent transformation tools) and orchestration tools such as Prefect or Airflow.
Cloud: Working knowledge of Azure or a similar cloud, including networking and identity.
Python: Able to build and maintain pipelines and automation in Python.
CI/CD: Experience building automated deployment pipelines (GitHub Actions or equivalent).
AI Tooling: Hands-on experience building with AI and LLM tools, such as AI coding assistants or LLM integrations.
Security: Practical experience with role-based access, encryption, and credential management.
Communication: Able to lead cross-functional groups and explain technical decisions to non-technical audiences.

PREFERRED SKILLS OR EXPERIENCE :

Claude Code & MCP: Experience with Claude Code or Model Context Protocol (MCP) servers.
Containers: Experience with containerized deployments.
Source Systems: Familiarity with Salesforce, ServiceNow, Paylocity, or Sage Intacct data models.
Governance & MSP: Experience leading data governance; background in managed services or IT services.

Starting Compensation Range: $140,000 per year

The salary for this position is commensurate with experience, skills, and qualifications. The range is intended to reflect our commitment to attracting top talent, and the final offer will be based on factors including, but not limited to, the candidate's previous experience, expertise in the field, relevant certifications, and the specific requirements of the role. In addition, internal equity, market trends, and geographic location may also influence the final salary.

At Ascend Technologies we firmly believe that diversity, equity, and inclusion are not only fundamental values but also powerful drivers of innovation, growth, and success. We are committed to fostering an environment where every individual feels valued, respected, and empowered.

CORE VALUES

We are seeking highly motivated individuals who have the willingness and ability to demonstrate Ascend core values:

Committed to Client Success: Our actions and our words always align with the best interest of the client.

One Team: We work collaboratively to overcome challenges with humility and respect and do what it takes to find innovative solutions.

Integrity: We are unquestionably committed to doing the right thing even when it is hard.

Accountability: We hold ourselves and each other accountable for keeping our commitments to our clients, our communities, and one another.

Transparency: We create open lines of communication with each other and our clients, fostering relationships founded on candor and trust.

PHYSICAL DEMANDS

Must be able to sit, stand, and bend for the duration of shift. The position is mainly sitting, with occasional lifting up to 50 lbs, such as laptop, server equipment, and, driving to the work site to meet with client(s).

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