Data Engineer Architect

Mouri Tech; Bengaluru; On-site; INR 15,00,000 - 22,00,000; Full time

Job summary

A leading tech firm in Bengaluru seeks an experienced analytics data engineering leader. You will drive enterprise engagement delivery, oversee technical projects, and manage stakeholder interactions. The ideal candidate has over 10 years in data engineering, with hands-on cloud experience and strong SQL skills. This role involves mentoring teams and leading pre-sales efforts, with a focus on client satisfaction and operational excellence.

Qualifications

• 10+ years in analytics or data-engineering delivery, including 3 years leading enterprise programs.
• Hands-on expertise with cloud platforms and modern orchestration.
• Strong SQL and Python skills.

Responsibilities

• Own planning, budgeting, risk management for data workstreams.
• Champion best practices in data engineering.
• Mentor and review teams and external partners.

Skills

Cloud platforms (AWS, GCP, or Azure)

SQL

Python

Presentation skills

Communication skills

Education

Bachelor or master's in computer science, Engineering, Information Systems

Tools

Airflow

DBT

Collibra

Terraform

Job description

Overview

Role Overview: You will drive the end-to-end delivery of enterprise analytics data engineering engagements owning internal platform upgrades, pipeline optimizations, and reusable accelerators while tailoring and delivering solutions for strategic clients in energy, utilities, manufacturing, and more. Balancing technical leadership, client partnership, and pre-sales support, you'll collaborate closely with Architecture, SRE, and Sales teams to ensure our data platforms and pipelines meet performance, scalability, cost-efficiency, and business-outcome objectives. You will also lead RFP responses, workshops, and demos, with success measured by platform availability, throughput, deployment velocity, customer satisfaction (NPS), RFP win rates, and upsell pipeline growth enquiring exceptional leadership, communication, technical expertise, and strategic acumen.

Core Responsibilities

• Program Leadership: Own planning, budgeting, risk management, and governance for data ingestion, transformation, and modelling workstreams.
• Technical Oversight: Champion best practices in ELT/ETL (Airflow, dbt), cloud data warehouses (Snowflake, BigQuery, Redshift), streaming (Kafka, Pub/Sub), and data quality frameworks.
• Team Development: Mentor and review delivery leads, data engineers, and external partners; enforce architecture and code standards.
• Stakeholder Management: Interface with senior business and IT sponsors; translate strategy into roadmaps, dashboards, and SLAs.
• Pre-Sales & RFP: Lead solution definition, effort estimation, and value-proposition articulation for RFPs and proposals.
• Sales-Enablement: Collaborate with Sales/Pre-Sales teams to craft pitches, demos, and proof-of-concepts.
• Reporting & Documentation: Produce executive-level status reports, financial forecasts, and post-mortem analyses.

Required Qualifications

• 10+ years in analytics or data-engineering delivery, including 3 years leading enterprise programs.
• Hands-on expertise with cloud platforms (AWS, GCP, or Azure) and modern orchestration (Airflow, DBT).
• Demonstrated experience managing multi-million-dollar budgets and P&L accountability.
• Strong SQL and Python (or Scala/Java) skills.
• Exceptional communication and presentation skills comfortable with C-suite and technical audiences.
• Bachelor or master's in computer science, Engineering, Information Systems, or related field.

Nice-to-Have

• Certified in Agile (Scrum), PMP, or Cloud Architecture.
• Experience with data-governance tools (Collibra, Alation) and MLOps frameworks.
• Prior consulting or managed-services background.
• Proven track record in RFP response leadership and crafting successful sales pitches.
• Familiarity with infrastructure as code (Terraform, CloudFormation).

Details to Submit

Please fill the below details:

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Note: If the above skills matches your profiles kindly share the updated resume along with mention details to [e-mail]