Note: The job is a remote job and is open to candidates in USA. V2 Strategic Advisors is a boutique management and technology consulting firm specializing in transforming media and advertising sales organizations. The role involves leading and supporting the full delivery lifecycle of data engineering, analytics, and AI solutions across multiple client engagements.
Responsibilities
- Design and build scalable data pipelines, transformation workflows, and ingestion frameworks across client environments using Python and SQL
- Architect and implement data solutions on Databricks, including Delta Lake, Unity Catalog, and Lakeflow, and integrate with enterprise data warehousing platforms
- Drive best practices for data modeling, pipeline reliability, performance tuning, and cost governance across engagements
- Support data migration, integration, and platform modernization workstreams for media and advertising sales clients
- Partner with business stakeholders to translate complex data and reporting requirements into reliable, performant analytics solutions
- Design data models that serve both operational reporting and strategic analytics use cases across prospect-to-cash workflows
- Support BI tool integration and dashboard development, connecting data platforms to tools such as Tableau, Power BI, or Looker
- Apply process mapping, measurement strategy, and analytical frameworks to identify optimization opportunities and deliver insight to clients
- Advise clients on AI strategy and help identify where applied intelligence, including LLMs, RAG pipelines, and intelligent agents, can deliver meaningful business value
- Build and support production AI solutions using platforms including Databricks Mosaic AI, Claude, Gemini, and OpenAI APIs
- Stay current on emerging AI and ML capabilities and bring those patterns to client engagements and internal practice development proactively
- Apply machine learning concepts to analytics workstreams where engagements call for it
Skills
- 5+ years of hands-on Python and SQL experience in production data engineering or analytics environments
- Demonstrated experience with Databricks, Snowflake, or Google data warehousing platforms
- Hands-on experience working with AI tooling, Claude, Gemini, Cursor, or similar, and a working understanding of machine learning concepts
- 5+ years of consulting or technical delivery experience
- Meaningful exposure to media, advertising sales, or adjacent industries
- Strong facilitation, documentation, and presentation skills
- You operate with speed and agility, thriving in fast-paced, entrepreneurial environments
- Familiarity with enterprise CRM, middle-office cloud platforms, and adjacent data technologies is a plus
- Exposure to Salesforce or advertising technology platforms is welcome but not required
Company Overview