Good afternoon, I hope you are doing well. Need help on the opportunity below! I've got a Databricks Machine Learning Engineering opportunity with Highland Homes that's moving fast. The only catch is candidates MUST be open to interviewing onsite in Plano, TX.
We're specifically looking for candidates with hands on Databricks and Python (Model Development) experience in a true machine learning capacity, not just Data Engineering. Extra credit if they've worked within an Azure environment (MLflow & Delta Lakes), since that's the cloud here, and experience in Medallion is nonnegotiable. This is a senior-level engineering role that is open to the H1 community. Strong business acumen is a must, along with confident communication skills, as they'll be working closely with stakeholders and interacting regularly with high-level directors who are all working onsite in Plano, TX. Not looking for profiles who jump from client to client. Tenure is appreciated here!
Required Items:
Updated Resume
Interview Availability
One manager reference
- Please send one reference I can speak to on your behalf. These must be from managers or supervisors you've reported most recently or within the past 3 years
- Please provide them in the following format: Manager Name, Manager Title, LinkedIn Profile (required), Phone Number, Work E-mail
Profile information
- Full Legal Name (First Name, Last name):
- Work Authorization:
- Open to Relocation? Which location do they want to avoid:
- Date of Birth(MM/DD):
- Last 4 digits of SSN#:
- Current city and zip code:
Highland Homes
12+ month contract
10+ years of experience
Machine Learning Engineering opportunity. Client is not open to one-dimensional Data Scientist.
Hybrid opportunity in Plano, TX 3 days onsite and 2 days remote
Strong communication and business acumen is required as stakeholders/directors/managers/engineers are all onsite
2nd round interview is onsite
Top Skills' Details
Leadership & Technical Expertise:
5 7 years of hands on ML engineering and data engineering experience, including building and hydrating curated data models and leading technical teams.
Proven ability to design ML ready data architectures and establish engineering standards, coding practices, and scalable workflows.
Deep understanding of Medallion Architecture, including how to ingest raw source data into Bronze, refine and validate it in Silver, and deliver clean, conformed, analytics and ML ready Gold Layer datasets.
Azure Databricks:
Extensive experience using Azure Databricks for ML development, feature engineering, and data engineering pipelines.
Background migrating workloads to Databricks and leveraging Delta Lake, MLflow, and Databricks Workflows to operationalize ML and data transformations.
Python & SQL:
Strong proficiency in Python for model development, feature engineering, and MLOps automation.
Advanced SQL skills to build transformations, views, and optimized ELT pipelines that hydrate the Gold Layer.
Comfortable working in a fast paced, collaborative environment where experimentation and iteration are encouraged.
Data & Analytics Background:
10+ years in Data & Analytics, delivering enterprise scale data and ML solutions.
Experience designing feature stores, ML ready semantic layers, and production grade data assets.
Ability to integrate ML outputs into analytics tools and business facing dashboards.
Analytics & Visualization:
Experience designing semantic models and dashboards to surface ML insights, data quality metrics, and model performance.
Familiarity with Power BI best practices, including DAX and visualization standards.
Job Description
Overview:
We are seeking a Senior ML Engineer with strong data engineering foundations and deep experience building ML ready data pipelines within a Medallion Architecture. This role will lead technical initiatives, shape the ML and data engineering strategy, and help build a modern data platform that powers advanced analytics, predictive modeling, and enterprise scale machine learning.
You will design and implement scalable ML pipelines, ensure high quality data flows from ingestion to the Gold Layer, and collaborate across teams to deliver intelligent, data driven solutions.
Key Responsibilities:
Lead the development and maturity of the Modern ML & Data Platform.
Architect and maintain end to end ML pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
Design and operationalize Bronze Silver Gold data flows that support ML workloads and enterprise analytics.
Build and maintain the Enterprise Feature Store and ML ready Gold Layer datasets.
Translate business requirements into scalable ML and data engineering solutions.
Implement robust ETL/ELT processes, data acquisition strategies, and automated workflows.
Collaborate with data engineering, analytics, and product teams to ensure ML solutions meet business needs.
Mentor team members and enforce engineering best practices, coding standards, and model governance.
Ensure data governance, security, lineage, and performance optimization across ML and data pipelines.
Support the development of dashboards and semantic models that surface ML insights and operational metrics.
Dimensions Required:
Self starter
Problem Analysis & Judgment
Decisiveness & Risk Taking
Planning & Organization
Delegation & Follow Up
Communication & Persuasiveness
Adaptability & Drive
Continuous Learning & Self Development
Additional Skills & Qualifications
Additional Skills (Nice to Have)
Experience with GIS
Familiarity with LLMs, generative AI, and advanced ML techniques.
Exposure to model monitoring, drift detection, and ML observability tools.
Employee Value Proposition (EVP)
This role is central to shaping the organization's Modern ML & Data Platform, enabling digital transformation initiatives such as the Digital Buying Experience and Online Design Center. You will architect the ML and data foundations that power customer facing applications and enterprise decision making.
Work Environment
Hybrid - 3 days onsite at the Plano HQ (flexible after onboarding).
Business Drivers/Customer Impact
You will lead ML and data engineering initiatives, establish platform standards, and deliver scalable ML ready data solutions that drive advanced analytics and business insights.
This is a new capability Highland Homes is building, You will need to understand the business and ability to connect the dots between business and data.
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