At EMC, we’re all about working together to make an impact. As part of our team, you’ll have the opportunity to grow, contribute, and gain experience that matters. We strive to be caring leaders, close partners, and responsive experts—always supporting each other to do our best work. Join us, and let’s improve lives together.
**This job is fully remote and can be located anywhere in the U.S.**
Essential Functions:
Designs and evolves the data platform using Snowflake, DBT, Sigma, and AWS (Glue, Lambda, SageMaker), ensuring performance, modularity, and scalability for analytics and AI workloads.
Creates and communicates clear architecture direction for software and product team services, which build upon and improve operational effectiveness and efficiencies.
Designs infrastructure and workflows that support machine learning and generative AI use cases, including semantic modeling, feature engineering, and model deployment pipelines.
Identifies trends in technology and anticipates new requirements; recommends and supports strategies to leverage emerging and innovative technologies.
Builds and maintains sandbox environments for experimentation with predictive models, LLMs, and real-time analytics using Snowflake ML and AWS AI services.
Guides integration of machine learning and generative AI into data pipelines and analytics workflows, enabling use cases like semantic search, predictive modeling, and intelligent automation.
Recommends and presents technology applications strategy to meet the current and future needs of respective business areas.
Ensures foundational patterns (e.g., DBT macros, ML preprocessing frameworks) align with enterprise architecture and support AI/ML scalability, governance, and compliance.
Recommends and supports the technical strategy and alignment of data platform capabilities with the business objectives of EMC.
Partners with Data Platform Operations, Information Security, Network, Cloud Engineering, and DevOps teams to lead the design and implementation of new business initiatives as related to data and analytics.
Partners with Platform Operations, Analytics Engineering, and DAP teams to embed AI-ready data platform(s) into data products and ensure alignment with business outcomes.
Serves as a subject matter expert in data analytics platform(s) and AI/ML strategy, influencing platform innovation and guiding teams on best practices for scalable, intelligent data systems.
Serves as a technical resource for Data Platform team members on complex questions or issues.
Designs and recommends software engineering governance policies, procedures, and roles, including proper development techniques and quality management following established SDLC procedures.
Partners with Information Security to create and maintain security and procedures aligned and documented to risk management requirements.
Partners with Enterprise Architecture team to incorporate the creation of patterns and services into reference architecture and SDLC.
Provides guidance for building and maturing assigned solution platforms through automation and reusable processes.
Recommends and supports patterns that guide engineering team members in creating data solutions.
Enhances enterprise engineering practices by sharing expertise in creating engineering processes, alerting, and metrics.
Performs other duties as assigned.
Education & Experience:
Bachelor’s degree, preferably in computer science, data science, engineering, or related field, or equivalent relevant experience
Ten years of experience in data architecture, data engineering, or advanced analytics or related experience
Experience defining high-level data architecture or technical vision for large projects preferred
Knowledge, Skills & Abilities:
Excellent ability to design enterprise data architectures using tools such as Snowflake, DBT, and AWS
Deep understanding of analytics platforms (e.g., Sigma Computing) and data modeling principles
Strong proficiency in AI/ML tools and frameworks, including Python, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, AWS SageMaker, Snowflake ML, SQL-based predictive modeling
Excellent knowledge of semantic modeling, feature engineering, model interpretability, and MLOps
Advanced ability to translate business needs into scalable, AI-enabled technical solutions
Familiarity with modular architecture, automation frameworks, and data governance
Excellent communication and collaboration skills across technical and business stakeholders
The hiring salary range for this position will vary based on geographic location, falling within either of the following:
$109,818 - $157,391 or $121,061 - $173,534A hiring range represents a subset of the full salary range. The actual salary will depend on several factors, including relevant education, skills, and experience of an applicant, geographic location, and business needs.
For information relating to the benefits EMC Team Members receive as part of a comprehensive rewards package, please visit www.emcins.com/careers.
Our employment practices are in accordance with the laws that prohibit discrimination due to race, color, creed, sex, sexual orientation, gender identity, genetic information, religion, age, national origin or ancestry, physical or mental disability, medical condition, veteran status, active military status, citizenship status, marital status or any other consideration made unlawful by federal, state, or local laws.
All of our locations are tobacco free including in company vehicles.
Top Skills
What We Do
EMC Insurance Companies is among the top 60 insurance organizations in the country based on net written premium, and we have more than 2,500 employees. The company was organized in 1911 to write workers’ compensation protection in Iowa. Today, EMC provides property and casualty insurance products and services throughout the United States and writes reinsurance contracts worldwide. Operating under the trade name EMC Insurance Companies, Employers Mutual Casualty Company and one or more of its affiliated companies is licensed in all 50 states and the District of Columbia.
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