[Hiring] Strategic Data & Analytics Engineer @Shift Paradigm

Role Description

We are seeking a forward-thinking, consultative Data & Analytics Engineer to design, build, and maintain enterprise marketing data models, ontologies, and semantic context layers. In this role, you will act as a strategic bridge between business leaders and technical execution—partnering directly with clients to understand their strategic goals and translating those business requirements into scalable, warehouse-native data infrastructure.

Beyond core data engineering, you will spearhead how our clients' data ecosystems adapt to an evolving agentic future. You will architect the semantic models and data integration patterns required to power autonomous AI agents, both native to modern cloud data platforms (such as Databricks and Snowflake) and across connected MarTech platforms (such as Salesforce, Hightouch).

Qualifications

• 5+ years of hands-on experience in data engineering, analytics engineering, or data architecture building production-grade data pipelines and semantic models.
• 2+ years in a client-facing, consultative, or strategic lead role—demonstrated ability to run discovery, map business goals to technical architectures, and present solutions to cross-functional stakeholders.
• Strong ability to navigate ambiguity, translate non-technical business strategies into clear technical specifications, and articulate technical trade-offs to executives and cross-functional teams.
• A keen interest in the shift toward agentic AI, with an understanding of how data modeling, semantics, and context layers must adapt to support autonomous workflows across data platforms and marketing engines.
• Hands-on experience designing production pipelines and semantic data models across modern cloud data platforms, with deep expertise in Databricks, Snowflake, or equivalent architectures.
• Proficiency in SQL, Python/PySpark, data pipeline orchestration, and modern data stack tooling (e.g., dbt).
• Experience with marketing technology (MarTech), Customer Data Platforms (CDPs), reverse ETL tools (e.g., Hightouch, Census), and enterprise platforms (e.g., Salesforce Marketing Cloud, CRMs).
• Proven track record in multi-dimensional schema design, identity resolution modeling, graph/hierarchical structures, and API payload parsing (nested JSON/REST).
• Relevant certifications in Databricks or Snowflake preferred.

Requirements

• Certified Data Engineer Professional or Certified Analytics Engineer (Databricks).
• SnowPro Core or SnowPro Advanced Architect (Snowflake).
• dbt Cloud Developer Certification (dbt).

Benefits

• Competitive compensation aligned with your experience and impact.
• Remote flexibility.
• Collaborative culture that values diverse perspectives and innovative thinking.
• Work that makes a measurable difference for your clients.