Consulting Partner - Data & Analytics

Tata Consultancy Services; Santa Clara (CA); On-site; USD 161,000 - 220,000; Full time

Job summary

Tata Consultancy Services Limited is seeking a Consulting Partner for Data & Analytics to be the on-the-ground face of the unit on the US West Coast. This role spans advisory, solutioning, asset building and program execution across the data agenda, collaborating with client teams and the CoE to deliver end-to-end outcomes.

The candidate should excel in customer-facing engagements, workshop facilitation, and developing reusable assets while traveling domestically to client sites across the US

Qualifications

• Bachelor's degree in Computer Science, Engineering or related discipline; Master's preferred.

Responsibilities

• Engage with customers to build trusted relationships across data engineering, platform, architecture and analytics teams.
• Plan and facilitate solution and design workshops; frame problems and convert outputs into proposals.
• Own or contribute to RFPs, RFIs and proposals including architecture, estimation, delivery model and pricing inputs.

Skills

Data platform eng

Cloud data platforms

Big data engineering

Solution workshops

Client engagement

AI & GenAI

Education

Bachelor's degree in CS/Engineering

Master's preferred

Tools

BigQuery

Databricks

Snowflake

Looker/LookML

Power BI/Tableau

Job description

Job Description

Role: Consulting Partner - Data & Analytics

Location: Santa Clara, CA

We are seeking a consulting partner to be the on-the-ground face of the 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.

Qualifications

• Education: Bachelor's degree in Computer Science, Engineering or related discipline; Master's preferred.
• 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, 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.
    • Generic Managerial Skills
      • 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 working in evolving environments - self-directed, pragmatic and able to build structure where needed

  Salary Range

  $160,700 - $220,000

  Job Details

  Location: Santa Clara, CA

  Function: TECHNOLOGY

  Role: Consulting Partner

  ID: 437775

  Skills: Artificial Intelligence

  Desired Candidate Profile

  Qualifications

  BACHELOR OF COMPUTER SCIENCE