Senior Data Architect at Lumicity in Dallas, TX | USD110-140 | Kablio

Role

Description

dbt transformation

elt pipelines

azure databricks

ci/cd

ml collaboration

delta lakehouse

This is a multi-phase, 18-month program involving the rebuild of core data pipelines, migration into a modern lakehouse architecture, and development of a unified data platform to support credit risk, fraud, real-time decisioning, and enterprise analytics.

Leading the development of dbt transformation layers and establishing enterprise standards
Building high-performance ELT/ETL pipelines with strong observability and cost controls
Architecting and delivering large-scale data solutions on Azure, Databricks, and Snowflake
Supporting platform engineering teams with best practices, CI/CD for data, and automation
Collaborating with risk, credit, fraud, and analytics teams on data needs for ML/AI models
Providing architectural guidance to engineering pods across multiple workstreams
Designing and implementing Delta Lakehouse frameworks and governance models

Requirements

python

snowflake

azure

kafka

dbt

7-12yrs

If you’ve architected or led programs at enterprise scale especially in regulated environments this is a great opportunity.

Ideal Tech Stack

We’re seeking a Staff-Level Data Architect to support this effort.

Experience supporting real-time risk/fraud/credit decision systems
Ability to be hands-on while also driving architectural decisions
Enterprise governance frameworks (Purview, Unity Catalog, Collibra)
Python (scalable, production-grade)
7–12+ years in data engineering or architecture
Advanced SQL + optimization
Snowflake: Snowpipe, Streams/Tasks, performance tuning
Experience leading multi-team initiatives or platform migrations
dbt (core + cloud; experience defining architecture & standards)
Prior experience in large transformation programs (12+ months)
Azure: Data Factory, Functions, Synapse, EventHub
Streaming (Kafka/EventHub)
Familiarity with model enablement for DS/ML teams

Benefits

Pay Rate: $110–$140/hour (W2 or C2C) NO THIRD PARTIES

$110–$140/hour, depending on experience and specific workstream alignment.

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

200% growth

Department scaling

Successfully growing departments by 200% through rapid and precise recruitment efforts.

2016

Year established

Launched in 2016 as the U.S. arm of a global group, focusing on addressing technical talent gaps.

Headquartered in Los Angeles with offices in San Diego, Houston, Miami, and Chicago, the firm has scaled effectively through strategic expansion.
Specializes in recruiting for Engineering, Life Sciences, Technology, and Energy sectors, targeting high-growth industries like semiconductors, robotics, and medical devices.
Operates on contract and direct-hire models, offering contingent, retained, and executive search services to meet client needs.
Project highlights include staffing C-suite roles in oncology biotech startups, scaling digital-health engineering teams post-Series C, and sourcing cleared RF engineers for aerospace clients.
Consultants bring industry expertise and a 'human touch,' leveraging deep domain knowledge to fill niche technical roles.

Culture + Values

One to One In‑Depth Introductions with an Energy Recruitment Expert
An Extensive Network of Candidates
A Service That Delivers The Best
A Human Touch‑driven by meaningful partnerships

Environment + Sustainability

80 MW Solar

Solar Projects Funded

Developed and secured funding for significant solar projects contributing electricity for thousands of people.

£25M Heating

Biomass Heating Installation

Completed a substantial biomass-heating project across multiple sites, providing clean heat energy.

Since 2015, expanded operations into aquaculture and horticulture with a clean-energy focus

Inclusion & Diversity

Articles

About Us

Careers

Role

Description

dbt transformation

elt pipelines

azure databricks

ci/cd

ml collaboration

delta lakehouse

Leading the development of dbt transformation layers and establishing enterprise standards
Building high-performance ELT/ETL pipelines with strong observability and cost controls
Architecting and delivering large-scale data solutions on Azure, Databricks, and Snowflake
Supporting platform engineering teams with best practices, CI/CD for data, and automation
Collaborating with risk, credit, fraud, and analytics teams on data needs for ML/AI models
Providing architectural guidance to engineering pods across multiple workstreams
Designing and implementing Delta Lakehouse frameworks and governance models

Requirements

python

snowflake

azure

kafka

dbt

7-12yrs

If you’ve architected or led programs at enterprise scale especially in regulated environments this is a great opportunity.

Ideal Tech Stack

We’re seeking a Staff-Level Data Architect to support this effort.

Experience supporting real-time risk/fraud/credit decision systems
Ability to be hands-on while also driving architectural decisions
Enterprise governance frameworks (Purview, Unity Catalog, Collibra)
Python (scalable, production-grade)
7–12+ years in data engineering or architecture
Advanced SQL + optimization
Snowflake: Snowpipe, Streams/Tasks, performance tuning
Experience leading multi-team initiatives or platform migrations
dbt (core + cloud; experience defining architecture & standards)
Prior experience in large transformation programs (12+ months)
Azure: Data Factory, Functions, Synapse, EventHub
Streaming (Kafka/EventHub)
Familiarity with model enablement for DS/ML teams

Benefits

Pay Rate: $110–$140/hour (W2 or C2C) NO THIRD PARTIES

$110–$140/hour, depending on experience and specific workstream alignment.

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found