Data Architect Manager

360training

United States

Remote

USD 150,000 - 210,000

Full time

13 hours ago

Be an early applicant

Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Benefits offered by this job

Competitive salary

Annual bonus

Flexible time off

401k with match

Disability insurance

Healthcare benefits

HSA

Employee Assistance Program

Job summary

360training is seeking a hands‑on data platform leader to modernize our data architecture and enable AI, analytics, and trusted reporting. You’ll shape a cloud data platform with Azure focus, leveraging Fabric, Databricks, Snowflake, Synapse, AWS, or similar tech to drive reliable data products.

The role blends architecture with hands‑on implementation, mentoring a data engineering team, and delivering scalable data solutions across reporting, data science, and AI‑enabled workflows.

Qualifications

7+ years of experience in data engineering, data architecture, analytics engineering, or cloud data‑platform delivery.
Experience serving as the technical authority for enterprise data platforms, balancing hands‑on delivery with mentoring, design reviews, and long‑term architectural direction.
Hands‑on experience building or modernizing cloud data platforms using Azure, Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies.
Strong understanding of lakehouse, medallion, data warehouse, and data modeling patterns, including when dimensional modeling is useful and when it should not drive the entire architecture.

Responsibilities

Lead the design and implementation of modern cloud data‑platform capabilities, with a primary focus on Azure‑based architecture and delivery.
Lead, coach, and develop a team of data engineers while establishing high standards for technical excellence and delivery.
Provide technical leadership by making architectural decisions, mentoring engineers, reviewing designs, and driving best practices across the data platform.
Establish practical patterns for ingestion, transformation, medallion‑style data layers, data quality, lineage, governance, security, testing, and consumption.
Build scalable approaches for onboarding new sources, tables, columns, attributes, and acquired‑company data without creating brittle one‑off solutions.
Create governed data products that can support Power BI, analytics, operational reporting, data science, AI search, summarization, predictive analytics, and future agent‑based workflows.
Move business logic, metric definitions, and reusable transformations into governed, version‑controlled platform layers rather than scattered reports, spreadsheets, scripts, or stored procedures.
Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust, reporting reliability, platform usability, and delivery speed.

Skills

Technical leadership

Stakeholder communication

Mentoring

Architectural direction

Project management

Tools

Azure

Microsoft Fabric

Databricks

Snowflake

Synapse

Power BI

Purview

dbt

SQL

Python

Delta Lake

Job description

360training

At 360training, we’re more than an online training provider—on a mission to empower people and organizations to thrive. As a fast‑growing leader in online and live training across multiple industries, we deliver regulatory‑approved training and certifications that power careers and businesses.

Our culture is grounded in two values: Deliver Results and Do the Right Thing. We operate as a collaborative, performance‑driven organization where data plays a critical role in shaping strategy and outcomes. If you’re excited to turn analytics into impact and influence meaningful decisions, 360training is the place for you.

This is a remote position

We are looking to hire in the following states: AZ, FL, GA, NJ, PA, TN, TX, UT, ID, MI, MO and WI.

THERE IS NO VISA SPONSORSHIP FOR THIS ROLE

Role Summary

360training is looking for a hands‑on data platform leader to help modernize our data architecture and build the foundation for AI, analytics, and trusted reporting. This role will help design and deliver a modern cloud data platform, with an emphasis on the Azure ecosystem, while bringing strong experience from modern platforms such as Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies. The right candidate is both technical and practical: someone who can set architecture patterns, guide engineers, improve legacy data environments, and personally dive into implementation details when needed.

This is not a traditional BI reporting role. We need someone who understands modern data platforms, AI‑ready data architecture, medallion or lakehouse design patterns, governance, schema evolution, and how to create reliable data products that can support reporting, analytics, applications, data science, and AI‑enabled workflows.

Responsibilities

Lead the design and implementation of modern cloud data‑platform capabilities, with a primary focus on Azure‑based architecture and delivery.
Lead, coach, and develop a team of data engineers while establishing high standards for technical excellence and delivery
Provide technical leadership by making architectural decisions, mentoring engineers, reviewing designs, and driving best practices across the data platform.
Establish practical patterns for ingestion, transformation, medallion‑style data layers, data quality, lineage, governance, security, testing, and consumption.
Build scalable approaches for onboarding new sources, tables, columns, attributes, and acquired‑company data without creating brittle one‑off solutions.
Create governed data products that can support Power BI, analytics, operational reporting, data science, AI search, summarization, predictive analytics, and future agent‑based workflows.
Move business logic, metric definitions, and reusable transformations into governed, version‑controlled platform layers rather than scattered reports, spreadsheets, scripts, or stored procedures.
Partner with BI, analytics, engineering, product, finance, and business teams to improve data trust, reporting reliability, platform usability, and delivery speed.

Required Experience

7+ years of experience in data engineering, data architecture, analytics engineering, or cloud data‑platform delivery.
Experience serving as the technical authority for enterprise data platforms, balancing hands‑on delivery with mentoring, design reviews, and long‑term architectural direction.
Hands‑on experience building or modernizing cloud data platforms using Azure, Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies.
Strong understanding of lakehouse, medallion, data warehouse, and data modeling patterns, including when dimensional modeling is useful and when it should not drive the entire architecture.
Experience with tools such as Azure Data Lake, Azure Data Factory, Microsoft Fabric, Databricks, Synapse, Power BI, Purview, dbt, Snowflake, SQL, Python, Delta Lake, or similar technologies.
Practical experience with schema evolution, metadata‑driven ingestion, pipeline automation, data quality checks, lineage, security, access control, documentation, and observability.
Experience preparing enterprise data for AI‑enabled use cases, such as governed data access, semantic consistency, search, summarization, data science, predictive analytics, or agent‑based workflows.
Strong SQL skills and the ability to design, review, debug, and optimize data pipelines, models, and transformations.
Experience improving legacy data environments with complex pipelines, inconsistent definitions, fragmented reporting logic, Power BI dependencies, stored procedures, or manual processes.
Ability to lead technical execution while communicating clearly with business and technology stakeholders.
Hands‑on leadership style with the ability to set standards, guide a small team, and still build, review, troubleshoot, and deliver directly when needed.