Lead Data Solutions Architect

Note : Please apply directly through LinkedIn for this position. We kindly request that candidates refrain from contacting company officials via email or messages regarding this role.

About the Company

We are an AI and Data Consulting Startup transforming how businesses leverage technology through four core service lines :

Consulting Services : AI Strategy, Automation, and Digital Transformation for enterprises.

SaaS Platform Development : Building a business application suite similar to Odoo and Zoho that is AI-native and user friendly.

Data Lakehouse Solutions : Unified data pipelines for aggregation, cleaning, governance, and advanced analytics.

Government Contracting : Developing secure, compliant AI solutions for the public sector.

Our tech stack includes Python, TypeScript, React, Next.Js, Go, Rust, Azure, Kubernetes, Spark, MLflow, Postgres, graph databases, and vector stores.

We're a small, fast-moving team delivering enterprise-grade solutions with startup agility.

Role Overview

You will design, build, and optimize data lakehouse solutions, enabling analytics, AI, and MLOps across multiple clients.

Key Responsibilities

Design lakehouse architectures (Bronze / Silver / Gold) using Azure Databricks, Delta Lake, or Iceberg

Build scalable PySpark pipelines for batch and streaming data

Implement data quality, validation, and lineage tracking

Integrate pipelines with MLflow for experiment tracking

Optimize Spark performance and cloud cost

Ensure data governance, PII protection, and security compliance

Mentor developers and document patterns and runbooks

Required Skills

Apache Spark (PySpark) and SQL (complex joins, CTEs, optimization)

Delta Lake / Iceberg and Azure Data Stack (ADLS, Synapse, Databricks)

MLflow integration for MLOps pipelines

Kafka / Event Hubs for streaming data

Strong Python and data modeling (dimensional, Data Vault)

5+ years hands-on in data engineering with production-grade systems

Nice to Have

Vector databases, dbt, Airflow, Terraform, FinOps exposure, and Great Expectations data validation

Experience with data governance technologies (such as MS Purview or similar)

Certifications : Azure Data Engineer / Databricks DE

Education

UG : B.Tech / B.E. – Computer Science / Information Technology

PG : M.Tech / M.E. / Any Postgraduate (preferred)

Why Join Us

Impact : You'll have significant influence over our data architecture and enable AI / ML capabilities across the organization.

Growth : Help shape and build our data-driven culture from the ground up.

Learning : Work with the latest in AI, code, and data technologies.

Culture : Flat hierarchy, collaborative, and outcome-driven team.