Epicor Kinetic consultant leading master, transaction, and historical data migrations. Supporting a global industrial equipment manufacturer’s post - merger platform standardization.
About the role
- Senior Cloud Data Architect designing Google Cloud data architectures for Napkyn, a Kepler Group marketing technology company. Integrating marketing data to drive trusted insights and client decisions.
Responsibilities
- Lead client technical discovery sessions to understand business challenges, define solution approaches, and recommend cloud data architectures
- Integrate data from paid media, analytics, CRM, and other marketing platforms to deliver insights aligned with marketing performance objectives
- Collaborate with clients to understand business objectives, technical requirements, and success criteria
- Serve as a trusted technical advisor, guiding clients through solution design, implementation approaches, trade-offs, best practices, and long-term success
- Structure ambiguous problems, validate assumptions, and align technical solutions with business needs
- Act as a conduit between client business, marketing, and technical teams from problem definition through delivery
- Develop data integrations for customer private cloud environments using platform tools, APIs, and scripting
- Build or advise on infrastructure for extracting, transforming, and loading data from diverse sources
- Assess customer pipelines and recommend improvements to efficiency, security, scalability, and data quality
- Mentor team members through technical guidance and knowledge sharing
- Develop reusable data models, pipelines, and dashboard templates
- Evaluate how cloud infrastructure and operational decisions affect reliability, performance, and business outcomes
Requirements
- Proficiency building ETL/ELT pipelines in private cloud environments, including Google Cloud, AWS, and Azure
- Experience designing and implementing data solutions for marketing, advertising, or customer analytics use cases
- Experience integrating Google Marketing Platform products and related marketing vendor APIs
- Strong Computer Science fundamentals, problem-solving skills, and software engineering skills
- Ability to understand and organize data from various sources
- Strong expertise in a programming language, preferably Python
- Proficiency writing SQL queries
- Experience with Google Cloud, especially BigQuery
- Experience building solutions via API integration
- Knowledge of OAuth protocols for API authentication
- Experience with QA and DevOps processes
- Strong understanding of security and privacy implications in data pipelines
- Ability to identify and resolve performance and data quality issues in data pipelines
- Strong critical thinking and attention to detail
- Experience mentoring technical colleagues or leading technical discussions
- Ability to influence technical decision-making, facilitate solution discussions, and build consensus with client and internal stakeholders
- Excellent written, verbal, and presentation skills, including communicating complex technical concepts to technical and non-technical audiences
- Ability to prioritize projects and handle multiple tasks efficiently
- A degree in Computer Science, Statistics, Information Systems, or another quantitative field, or comparable industry experience
- Preferred: experience with Snowflake, Databricks, dbt, varied marketing-platform APIs, AI deployment in cloud environments especially Gemini, Kotlin/JVM or JavaScript, and Google Cloud Professional certifications
Benefits
- Opportunity to join Employee Resource Groups, DEI initiatives, and altruism efforts
- Growth opportunities and a role in shaping the direction of the company
- Transparent updates on company financials, bonus goals, and company challenges
- Collaboration with and learning from industry experts
- Disability accommodations available upon request throughout the selection process
- Commitment to diversity, background, thought, and experience
- People-first work environment supporting employees' authentic selves
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