Data & AI Architect

Ascend Technologies

. Own the enterprise data and AI platform roadmap and architecture .

Posted 11/3/2026full-timeRemote • United StatesMid-LevelSenior💰 $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data engineering and database administration, with a strong focus on PostgreSQL, dbt, and automated pipeline deployments. Capable of leading cross-functional teams and implementing data governance practices while ensuring data quality and security.

Highest-signal resume keywords

PostgreSQL Database AdministrationSQL ProficiencyData Governance LeadershipAutomated Pipeline DeploymentAI Integration Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringDatabase AdministrationData ArchitectureSQLPostgreSQLDbtPythonAutomated Deployment PipelinesData Quality TestingAccess Control Implementation

Soft Skills

Cross-Functional LeadershipTechnical Communication

Tools & Technologies

PrefectGitHub ActionsAzureAI Coding AssistantsLLM Tools

Industry Keywords

Data GovernanceData ProtectionCredential ManagementContainerized DeploymentsManaged Services

Tech Stack

Tools & technologies

AirflowAzureCloudPostgresPythonServiceNowSQL

About the role

Key responsibilities & impact

Own the enterprise data and AI platform roadmap and architecture
Set priorities and direct work across staff and engineering partners
Design and maintain dbt models, the semantic layer, and data quality tests
Administer PostgreSQL, including performance, backup and recovery, and monitoring
Run automated, repeatable pipeline deployments using Prefect and GitHub Actions
Implement access controls, data protection measures, encryption, and credential management practices
Chair the Data Governance Committee and work with system owners and data stewards
Maintain current data definitions, standards, and data quality
Design and operate secure AI integrations
Guide AI-native applications and automations from prototype to production
Work alongside the Data Analytics and Reporting Lead and engineering partners as technical lead
Drive to work sites to meet with clients when required
Perform other responsibilities as assigned by management

Requirements

What you’ll need

At least 5+ years in data engineering, database administration, data architecture, or a similar role
Strong SQL and hands-on PostgreSQL database administration, including performance tuning, backup, and recovery
Experience with dbt or equivalent transformation tools and orchestration tools such as Prefect or Airflow
Working knowledge of Azure or a similar cloud, including networking and identity
Ability to build and maintain pipelines and automation in Python
Experience building automated deployment pipelines using GitHub Actions or equivalent
Hands-on experience building with AI and LLM tools, such as AI coding assistants or LLM integrations
Practical experience with role-based access, encryption, and credential management
Ability to lead cross-functional groups and explain technical decisions to non-technical audiences
Preferred: Experience with Claude Code or MCP servers
Preferred: Experience with containerized deployments
Preferred: Familiarity with Salesforce, ServiceNow, Paylocity, or Sage Intacct data models
Preferred: Experience leading data governance; background in managed services or IT services
Must be able to sit, stand, and bend for the duration of the shift
Occasional lifting up to 50 lbs
Application requires citizenship/employment eligibility information and sponsorship status

Benefits

Comp & perks

Commitment to diversity, equity, and inclusion
Core values emphasizing client success, teamwork, integrity, accountability, and transparency