Director - Google Cloud Platform Eco system

Overview

$DOE
Accepts corp to corp applications
Contract - W2
Contract - FTE

Skills

GCP Eco system

Job Details

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for (Title) in (Location). Below is the detailed job description.

Title: Director - Google Cloud Platform Eco system

Location:[Remote/Onsite/Hybrid]

Duration: FTE

Department: Data Engineering | Google Cloud Business Unit

Job Description: Director Partner Solution Architect, Data Engineering (Google Cloud Platform Ecosystem)

About the Role:

As a senior technical leader, you will combine deep knowledge of Google Cloud Platform's Data & AI stack with a strong understanding of partner co-innovation, solution building, and business enablement.

Key Responsibilities:

Serve as the senior-most technical leader within the Google Cloud Platform partner ecosystem for Data Engineering and AI solutions.

Own the end-to-end lifecycle of Google Cloud Platform-based accelerators and frameworks-right from ideation to delivery and go-to-market execution with Google Cloud Platform field teams.

Collaborate directly with Google Cloud Product, Sales, and Partner Engineering teams to stay ahead of new offerings, solution plays, and market trends.

Architect and lead the development of data modernization, AI/ML, and analytics solutions using Google Cloud Platform services and open-source frameworks.

Guide internal engineering and presales teams to align delivery strategies with Google Cloud Platform's Data & AI product roadmap.

Develop reference architectures, PoCs, and technical solution kits to drive joint GTM with Google Cloud Platform sellers and partner ecosystem.

Act as a technical evangelist within the Google Cloud Platform community, showcasing innovations and driving field-level enablement.

Establish strong executive-level relationships with Google Cloud partner teams and key ISV partners within the ecosystem.

Contribute to thought leadership through blogs, whitepapers, and external speaking engagements in partnership with Google Cloud Platform.

Required Qualifications:

12+ years of experience in data engineering, cloud solution architecture, or technical leadership roles, including 5+ years working on Google Cloud Platform.

Deep expertise in Google Cloud Platform Data & AI services, including but not limited to:

BigQuery, Looker, Dataproc, Dataflow, Pub/Sub, Cloud Storage, Vertex AI, AI Platform, Dataplex, Cloud Composer, Spanner, Firestore, Bigtable, and Analytics Hub.

Hands-on experience designing and delivering end-to-end data pipelines, ML pipelines, and real-time data processing on Google Cloud Platform.

Proven track record of building and taking data and AI accelerators to market in collaboration with cloud hyperscaler sales and partner teams (preferably Google Cloud Platform).

Strong understanding of partner ecosystems, Google Cloud Marketplace, and co-selling motions with Google Cloud Platform.

Excellent executive presence, with the ability to engage and influence at the Director/VP level across , Google Cloud, and partner organizations.

Google Cloud Professional Data Engineer and/or Google Cloud Professional Cloud Architect certifications.

Preferred Qualifications:

Strong familiarity with Google Cloud Platform's industry-specific solutions (e.g., retail data lakehouse architectures, supply chain AI, financial services data mesh, etc.).

Experience working with Google Cloud Partner Advantage Program and other partner incentive models.

Background in leading multi-functional teams including data engineers, ML engineers, and cloud architects.

Experience with cost governance (FinOps) and performance tuning of large-scale cloud-native data solutions.

Key Success Metrics:

Number of Google Cloud Platform-aligned accelerators developed and successfully adopted by field and delivery teams.

GTM pipeline influence and co-sell wins with Google Cloud Platform sellers across regions.

Strategic partnerships and alliances enabled within the Google Cloud Platform Data & AI partner ecosystem.

Enablement impact: number of workshops, technical sessions, and field training programs delivered with Google Cloud Platform.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.