Описание

The Data & AI Architect is the technical owner of Ascend Technologies’ enterprise data and AI platform, responsible for setting the roadmap, designing, building, securing, and operating the data infrastructure.

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

Requirements

At least 5+ years in data engineering, database administration, data architecture, or a similar role
Strong SQL and hands-on database administration, including performance tuning, backup, and recovery with PostgreSQL
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
Able to build and maintain pipelines and automation in Python
Experience building automated deployment pipelines (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
Able to lead cross-functional groups and explain technical decisions to non-technical audiences

Nice to have

Experience with Claude Code or Model Context Protocol (MCP) servers
Experience with containerized deployments
Familiarity with Salesforce, ServiceNow, Paylocity, or Sage Intacct data models
Experience leading data governance
Background in managed services or IT services

We offer

Starting compensation range: $140,000 per year
The salary for this position is commensurate with experience, skills, and qualifications
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 the Data Analytics and Reporting Lead and engineering partners, and you will be the technical lead for what gets built

Hiring process

Apply via the provided link