GCP Data solution lead

Job Description:

Position Overview

• We are seeking a highly experienced Senior Sales Engineer with 12+ years of expertise across cloud data platforms, data engineering, analytics, and solution architecture. This role combines deep technical delivery experience with strong pre-sales, client advisory, and deal-shaping capabilities.

• The ideal candidate must have implemented at least two end to end data management solutions (ex: modernization, customer 360, data products) on GCP tech stack, snowflake or Databricks. They should have integrated data from leading ERP/CRM like SAP, Oracle, Salesforce as well as unstructured data sources like PDF, JPG etc.

• You will work closely with sales, consulting, and engineering teams to design high-impact data solutions and guide clients through their cloud and analytics transformation journeys.

  Key Responsibilities

  Rapid Prototyping and Partner sales engineering

• Ability to discover, ideate and build rapid prototypes independently on GCP or hybrid data stacks.

• Ability to demonstrate and articulate value of the solutions using show and tell approach.
• Ability to work with marketing team to put together the demo script and help create marketing videos that can be published on various social channels.
• Ability to work with partner account executives and solution architects to drive new logo acquisition.

• Ability to present to technical and executive audience in webinars, events or conferences and be the technical brand ambassador for the firm.

  Trusted Technical Ally to the Client

• Serve as a trusted advisor to client executives—translating business strategy into technical solutions and roadmaps.

• Lead discovery workshops with business and IT stakeholders to capture requirements and define solution approaches.
• Evaluate and propose the best of breed enterprise data architecture, modernization patterns, emerging trends on data product implementation on preferred tech stack.
• Ability to perform architecture reviews, troubleshoot performance issues, and validate technical solutions.

• Develop compelling value propositions and technical narratives for proposals, RFP/RFI responses, and client presentations.

  Innovation, Startup mindset and Domain Expertise

• Ability to imagine art of the possible in evolving technology landscape for next 3 to 5 years

• Ability to be a citizen AI developer to design, build and utilize AI tools for day to day data engineering, data analytics and AI ready data apps
• Understanding of open data initiatives, common information data models for retail, finance and health care domains
• Demonstrated experience in implementing data solutions for key enterprise functions like supply chain, finance etc.
• Contribute to technical white papers, partner solution blogs, community speaking sessions etc.

• Agile and startup mindset to build and deliver outcomes to clients quickly and efficiently

  Solution Architecture & Technical Leadership

• Build solution architectures that balance business outcomes, technical feasibility, and commercial viability.

• Architect scalable data platforms on GCP using Big Query, Pub/Sub, Dataflow, Data proc, Cloud Storage, Composer, Looker, and related services.
• Design end-to-end solutions including ingestion, processing, transformation, modelling, orchestration, and consumption layers.
• Incorporate Snowflake, Databricks, or hybrid architectures where beneficial.
• Contribute and maintain the playbooks for sales, pursuit and delivery of lakehouse and analytics development life cycle

• Provide modernization strategies for legacy data warehouses, ETL platforms, and analytics environments.

  Data Governance & Data Management

• Define frameworks for data governance, including metadata management, data quality, lineage, access controls, and stewardship models.

• Experience with governance and catalog tools (e.g., Collibra, Atlan, Alation, Informatica, or cloud-native equivalents).
• Advise clients on implementing enterprise-wide governance operating models and policies.

• Integrate governance with data platform architectures to ensure compliant, trusted data environments.

  BI, Analytics & Visualization

• Experience designing consumption layers using tools such as Looker, Tableau, Power BI, Qlik, or other modern BI platforms.

• Define semantic models, dashboards, KPI frameworks, and self-service analytics patterns.

• Partner with business teams to ensure analytics solutions meet usability, performance, and functional needs.

  Qualifications

• 12+ years in data engineering, data architecture, analytics, or cloud-based data solutions.
• 8+ years in GCP data architecture with deep knowledge of core GCP analytics components.
• End to End implementation experience of two complex data modernization programs from presales to production go live
• Ability to jointly or independently drive and influence revenue growth of $1M-$5M
• Proven experience in pursuit life cycle management from initiation to Orals

• Strong communication, storytelling, and executive-level presentation skills.

  Preferred certifications:

  • Google Professional Data Engineer / Cloud Architect
  • Snowflake Snow Pro certifications
  • Databricks Data Engineer or Architect certifications