Skip to main content
Loading
snaprecruit
Logo
Close
Log in
Sign Up
Post a Job

Millions Of Active Candidates

For Employers
VIEW SIMILAR JOBS →
loadingbar
Loading, Please wait..!!

Consulting Partner With Data And Analytics

  • Consulting Partner With Data And Analytics job type Posted on: Oct 22, 2026
  • Consulting Partner With Data And Analytics experience level Apptad Inc
  • Consulting Partner With Data And Analytics employment type Santa Clara, California
  • Consulting Partner With Data And Analytics employment type Onsite
  • Consulting Partner With Data And Analytics salary Full-time
Save this job

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Consulting Partner With Data And Analytics roles in California.

View Salary Guide →
Over 12 millions jobs on Snaprecruit.
Find your match !
VIEW SIMILAR JOBS →

Job Title :

Consulting Partner With Data And Analytics

Job Type :

Full-Time

Job Location :

Santa Clara California United States

Remote :

No

Jobcon Logo Job Description :

Must Have Technical/Functional Skills
Data & Analytics platform engineering core of the role
Modern warehousing, lakehouse and open data architecture: semantic data modelling, medallion architecture, Apache Iceberg / Delta, Trino / Presto, dbt, and Data Mesh / data product design for reusable, governed datasets.
Cloud data and analytics platforms - deep expertise in at least one, credible familiarity with a second: Google Cloud (BigQuery, Dataflow, Dataproc, Pub/Sub, Dataplex, Looker, Vertex AI), Azure (Synapse, Fabric, ADF, Purview, Azure ML) or AWS (Redshift, Glue, EMR, Kinesis, SageMaker); Databricks and/or Snowflake, including workload design and query performance tuning.
Deep, hands-on data engineering at scale: enterprise data pipelines using Apache Spark / PySpark, advanced SQL and Python; batch and streaming ingestion with Kafka and/or Flink; orchestration and SLA-driven operations with Airflow.
Analytics and consumption enablement: the semantic and reporting layer that turns data products into decisions - Looker / LookML, Power BI or Tableau - with self-service enablement and analytics engineering practices.
DataOps and platform reliability: CI/CD for data pipelines (GitHub Actions / Azure DevOps), Terraform, Kubernetes, data observability and lineage, and FinOps for cost and performance optimisation of large data platforms.
Data governance, AI and analytics breadth
Data governance, quality, lineage, metadata, MDM and privacy engineering; catalog tooling such as Dataplex, Collibra, Alation, Purview or Unity Catalog.
AI & GenAI led Transformation experience
Working knowledge of the AI stack ML and MLOps (MLflow, Kubeflow, Ray, feature stores), GenAI and agentic patterns (RAG, vector stores, LLM evaluation and guardrails) and Responsible AI practices.
Consulting, solutioning and engagement skills
Proven experience in a customer-facing role running discovery and solution workshops, presenting to senior engineering and business stakeholders, and building trusted technical relationships.
Demonstrated ownership of RFP / RFI and proactive proposal responses: solution approach, architecture, estimation, delivery model and orals.
Experience building reusable assets Accelerators, PoVs, PoCs, demos and reference architectures and representing a practice or Centre of Excellence.
Experience in planning and governing programs executed with distributed onsite offshore teams.
Domain context
Experience with high-technology customers hyperscalers, platform, software, semiconductor, consumer-electronics and comfort working alongside engineering-led organisations that build much of their own stack.
Roles & Responsibilities
We are seeking a Consulting Partner to be the on-the-ground face of Data & Analytics unit serving high-tech customers on the US West Coast. This is a broad, hands-on, customer-facing role spanning advisory, solutioning, asset building and program execution suited to someone who enjoys operating across the full breadth of the data agenda rather than a single specialism.
Key Responsibilities:
Customer engagement and advisory: Build and sustain trusted relationships with client data engineering, platform, architecture and analytics teams. Travel to customer sites across the US West Coast to run discovery conversations, executive briefings and capability sessions.
Solution workshops: Plan and facilitate solution and design workshops frame the problem, shape options, whiteboard target architectures and convert outcomes into actionable proposals.
Solutioning and proposals: Own or contribute to RFP, RFI and proactive proposal responses solution approach, architecture, estimation, delivery model and pricing inputs and present and defend them to technical and business audiences.
Asset and offering planning: Identify reusable asset opportunities from live customer demand; define accelerators, PoVs, demos and reference architectures, and drive them to completion with the CoE pods.
Representing the Centres of Excellence: Act as the customer-facing voice of the Data and AI CoEs bring the right pod, offering and expertise into the account, and carry customer insight back to shape the CoE roadmap.
Program planning and execution: Work with offshore delivery and CoE teams on program planning, estimation, staffing and execution governance for key programs; guide design decisions, review deliverables and safeguard quality and outcomes.
Technology currency and capability building: Maintain an informed point of view on modern data architecture, open-source engineering and AI trends relevant to high-tech customers; contribute to skilling priorities and mentor engineers and consultants.
Pipeline contribution: Identify and qualify opportunities within accounts, maintain a credible view of technical pipeline and work with account leadership to convert.
Generic Managerial Skills, If any
Strong consultative and communication skills credible with principal engineers and confident presenting to executive stakeholders.
Willingness and ability to travel regularly to customer locations across the US West Coast.
Experience coordinating across geographies and time zones with offshore delivery and CoE teams; mentoring without direct line management.
Comfortable in an early-stage unit self-directed, pragmatic and able to build structure where none yet exists.
Key Words to search in Resume
Data Practitioner; Data Consultant; Data Architect; Apache Spark / PySpark; Kafka; Flink; Airflow; Apache Iceberg; Trino / Presto; dbt; SQL; Python; BigQuery; Databricks; Snowflake; Azure Synapse / Fabric; AWS Redshift / Glue; Kubernetes; Terraform; CI/CD; DataOps; FinOps; Data Lakehouse; Data Mesh; Data Governance; MDM; MLOps; GenAI / RAG; Looker / Power BI / Tableau; Solution workshops; RFP / RFI response; Presales solutioning; Accelerators / PoV; Onsite-offshore program execution; High-tech domain; AI & GenAI led Transformation experience
Pre-Screening Questionnaire
Describe a large-scale data platform or program you have worked on scale, technologies and your specific contribution.
Tell us about a solution workshop you facilitated with a customer and what it led to.
Describe an RFP or proposal you contributed to or owned your role and the outcome.
Give an example of an accelerator, PoV or demo you helped build and how it was used with a customer.
How have you worked with offshore teams on program planning and execution?
What is your experience with high-technology customers, and how does working with them differ?
Are you Bay Area based or willing to relocate, and are you able to travel regularly? What is your work authorisation status?

People Also Search For

Similar Jobs You May Be Interested In

Consulting Partner With Data And Analytics

Confidential Employer
Santa Clara, California

Jobcon Logo Position Details

Posted:

Oct 22, 2026

Reference Number:

33841-5039

Employment:

Full-time

City:

Santa Clara

Job Origin:

CIEPAL_ORGANIC_FEED

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!
Get your FREE tickets

Consulting Partner With Data And Analytics    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Must Have Technical/Functional Skills
Data & Analytics platform engineering core of the role
Modern warehousing, lakehouse and open data architecture: semantic data modelling, medallion architecture, Apache Iceberg / Delta, Trino / Presto, dbt, and Data Mesh / data product design for reusable, governed datasets.
Cloud data and analytics platforms - deep expertise in at least one, credible familiarity with a second: Google Cloud (BigQuery, Dataflow, Dataproc, Pub/Sub, Dataplex, Looker, Vertex AI), Azure (Synapse, Fabric, ADF, Purview, Azure ML) or AWS (Redshift, Glue, EMR, Kinesis, SageMaker); Databricks and/or Snowflake, including workload design and query performance tuning.
Deep, hands-on data engineering at scale: enterprise data pipelines using Apache Spark / PySpark, advanced SQL and Python; batch and streaming ingestion with Kafka and/or Flink; orchestration and SLA-driven operations with Airflow.
Analytics and consumption enablement: the semantic and reporting layer that turns data products into decisions - Looker / LookML, Power BI or Tableau - with self-service enablement and analytics engineering practices.
DataOps and platform reliability: CI/CD for data pipelines (GitHub Actions / Azure DevOps), Terraform, Kubernetes, data observability and lineage, and FinOps for cost and performance optimisation of large data platforms.
Data governance, AI and analytics breadth
Data governance, quality, lineage, metadata, MDM and privacy engineering; catalog tooling such as Dataplex, Collibra, Alation, Purview or Unity Catalog.
AI & GenAI led Transformation experience
Working knowledge of the AI stack ML and MLOps (MLflow, Kubeflow, Ray, feature stores), GenAI and agentic patterns (RAG, vector stores, LLM evaluation and guardrails) and Responsible AI practices.
Consulting, solutioning and engagement skills
Proven experience in a customer-facing role running discovery and solution workshops, presenting to senior engineering and business stakeholders, and building trusted technical relationships.
Demonstrated ownership of RFP / RFI and proactive proposal responses: solution approach, architecture, estimation, delivery model and orals.
Experience building reusable assets Accelerators, PoVs, PoCs, demos and reference architectures and representing a practice or Centre of Excellence.
Experience in planning and governing programs executed with distributed onsite offshore teams.
Domain context
Experience with high-technology customers hyperscalers, platform, software, semiconductor, consumer-electronics and comfort working alongside engineering-led organisations that build much of their own stack.
Roles & Responsibilities
We are seeking a Consulting Partner to be the on-the-ground face of Data & Analytics unit serving high-tech customers on the US West Coast. This is a broad, hands-on, customer-facing role spanning advisory, solutioning, asset building and program execution suited to someone who enjoys operating across the full breadth of the data agenda rather than a single specialism.
Key Responsibilities:
Customer engagement and advisory: Build and sustain trusted relationships with client data engineering, platform, architecture and analytics teams. Travel to customer sites across the US West Coast to run discovery conversations, executive briefings and capability sessions.
Solution workshops: Plan and facilitate solution and design workshops frame the problem, shape options, whiteboard target architectures and convert outcomes into actionable proposals.
Solutioning and proposals: Own or contribute to RFP, RFI and proactive proposal responses solution approach, architecture, estimation, delivery model and pricing inputs and present and defend them to technical and business audiences.
Asset and offering planning: Identify reusable asset opportunities from live customer demand; define accelerators, PoVs, demos and reference architectures, and drive them to completion with the CoE pods.
Representing the Centres of Excellence: Act as the customer-facing voice of the Data and AI CoEs bring the right pod, offering and expertise into the account, and carry customer insight back to shape the CoE roadmap.
Program planning and execution: Work with offshore delivery and CoE teams on program planning, estimation, staffing and execution governance for key programs; guide design decisions, review deliverables and safeguard quality and outcomes.
Technology currency and capability building: Maintain an informed point of view on modern data architecture, open-source engineering and AI trends relevant to high-tech customers; contribute to skilling priorities and mentor engineers and consultants.
Pipeline contribution: Identify and qualify opportunities within accounts, maintain a credible view of technical pipeline and work with account leadership to convert.
Generic Managerial Skills, If any
Strong consultative and communication skills credible with principal engineers and confident presenting to executive stakeholders.
Willingness and ability to travel regularly to customer locations across the US West Coast.
Experience coordinating across geographies and time zones with offshore delivery and CoE teams; mentoring without direct line management.
Comfortable in an early-stage unit self-directed, pragmatic and able to build structure where none yet exists.
Key Words to search in Resume
Data Practitioner; Data Consultant; Data Architect; Apache Spark / PySpark; Kafka; Flink; Airflow; Apache Iceberg; Trino / Presto; dbt; SQL; Python; BigQuery; Databricks; Snowflake; Azure Synapse / Fabric; AWS Redshift / Glue; Kubernetes; Terraform; CI/CD; DataOps; FinOps; Data Lakehouse; Data Mesh; Data Governance; MDM; MLOps; GenAI / RAG; Looker / Power BI / Tableau; Solution workshops; RFP / RFI response; Presales solutioning; Accelerators / PoV; Onsite-offshore program execution; High-tech domain; AI & GenAI led Transformation experience
Pre-Screening Questionnaire
Describe a large-scale data platform or program you have worked on scale, technologies and your specific contribution.
Tell us about a solution workshop you facilitated with a customer and what it led to.
Describe an RFP or proposal you contributed to or owned your role and the outcome.
Give an example of an accelerator, PoV or demo you helped build and how it was used with a customer.
How have you worked with offshore teams on program planning and execution?
What is your experience with high-technology customers, and how does working with them differ?
Are you Bay Area based or willing to relocate, and are you able to travel regularly? What is your work authorisation status?

Loading
Please wait..!!