Staff Data Platform Engineer
About The Position
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.
Requirements
- 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
- 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
Nice To Haves
- Experience defining high-level data architecture or technical vision for large projects preferred
Responsibilities
- 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.
Benefits
- More than 105 years of financial strength and stability
- Named a five-star insurance carrier by Insurance Business America
- Two-time recipient of the Best Practices Award of Excellence from the Independent Agents & Brokers of America
- Multiple locations recognized as Top Workplaces based solely on team member feedback
- Corporate culture that engages and empowers team members to achieve their best
- Outstanding benefits with life, medical, dental, vision and prescription drug coverage
- Competitive paid time off plan and a full day of volunteer time off annually
- Financial incentives, including a 401(k) plan match, pension plan, OneEMC bonus plan and recognition and anniversary awards
- Professional development and growth opportunities, including tuition reimbursement
- Wellness initiatives to improve team member well-being and reduce health insurance costs
- Flexibility to dress for your day and opportunities for alternative work arrangements
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
