Lead Data Engineer

Lead Data Engineer

Key Highlights

️ Lead the end-to-end design and build of a brand-new, greenfield analytics ecosystem

⚡ Architect data pipelines, orchestration, warehousing, and BI layers from the ground up

Build scalable ETL / ELT pipelines, data models, and analytical experiences across Databricks, Zoho, Qlik, and modern data stack tools

Establish foundational engineering standards, best practices, governance, and data quality frameworks

Operate in a high-ambiguity, startup-style environment where technical leadership shapes the entire platform

Position Overview

We are seeking a Lead Data Engineer to build a modern analytics ecosystem for the organization. This is a highly visible, greenfield role that requires deep technical expertise, strong architectural instincts, and the ability to operate independently in an emerging environment.

You will design and implement the full data platform — including orchestration, ingestion, modeling, warehousing, and BI layers — while collaborating closely with product and business stakeholders. This role is ideal for someone who thrives in ambiguity, loves building from scratch, and brings a high standard of technical excellence.

Key Responsibilities

Platform Architecture & Engineering

Lead architecture and foundational design for a new analytics ecosystem

Build cloud-based data warehouses or lakehouses using Databricks or similar technologies

Design scalable ETL / ELT pipelines, orchestration layers, and transformation frameworks

Establish best practices across data modeling, quality, lineage, and governance

Define engineering standards and deployment patterns for long-term scalability

Data Engineering & Development

Build robust ingestion frameworks, structured and unstructured data pipelines, and transformation layers

Develop curated data models that support self-service analytics and BI capabilities

Implement automation, monitoring, and testing patterns for reliable data delivery

Partner with engineers, analysts, and business teams to translate requirements into high-quality data products

Analytics & BI Enablement

Build analytical and BI experiences end-to-end using tools such as Zoho, Qlik, or similar platforms

Enable scalable self-service analytics workflows and governed data access

Support dashboard development, semantic layers, and metrics definitions

Drive adoption of modern analytics tooling and standards across the business

Leadership & Collaboration

Provide technical leadership in a small, senior-level team

Operate effectively in high-ambiguity environments, driving clarity and structure

Collaborate closely with product, engineering, and business stakeholders

Document architecture, data flows, and platform standards

Qualifications

Required

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

8+ years in data engineering, BI platform engineering, analytics engineering, or similar roles

Proven experience building data platforms or warehouses from the ground up

Strong hands-on expertise in ETL / ELT, orchestration, and transformation pipelines

Advanced experience designing cloud-based data warehouses or lakehouse environments

Ability to lead greenfield platform development and make foundational architectural decisions

Strong proficiency building analytical / BI experiences end-to-end

Ability to collaborate closely with cross-functional partners and translate needs into scalable solutions

Exceptional skill across the full lifecycle : ingestion → modeling → quality → delivery

Preferred

Experience with Databricks , Spark, or comparable lakehouse technologies

Familiarity with Zoho , Qlik , or modern BI tools

Experience enabling self-service analytics environments

Strong understanding of modern data stack tooling (orchestration, automation, monitoring)

Background working in startup-style, greenfield, or high-growth teams

Relevant certifications (Azure, Databricks, BI tools)

About Us

We build modern, scalable, and high-quality data platforms that empower teams to make intelligent decisions. By combining strong engineering fundamentals, modern cloud technologies, and thoughtful analytics design, we help organizations transform raw data into meaningful insights.

Why Join Us

This is a rare opportunity to build an entire analytics ecosystem from scratch. You’ll influence architecture, shape engineering standards, partner closely with business leaders, and own a platform that will scale for years to come. If you want to create, innovate, and lead in a greenfield environment — this is the role for you.