Weekday AI

Proactive software engineer recruitment via referrals

Resident Solution Architect

Implementation & Technical Account ManagementConfirmed live in the last 24 hours

Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

At least 9 years of experience.
Strong experience with Databricks, Apache Spark or PySpark, SQL, and data engineering fundamentals.
Experience designing data pipelines and data platforms.
Experience with Lakehouse, data warehouse, or big data architecture.
Experience with at least one cloud platform: AWS, Azure, or GCP.
Strong customer-facing or consulting experience.
Architecture and design experience.
Strong communication and presentation skills.

Responsibilities

Work directly with enterprise customers as a trusted technical advisor.
Understand customer business and technical requirements and translate them into scalable data architectures.
Design and implement modern Lakehouse and Data + AI architectures using Databricks.
Develop and guide proofs of concept, technical workshops, and architecture demonstrations.
Work extensively with Apache Spark or PySpark, SQL, and Databricks.
Design scalable data ingestion, transformation, and processing pipelines.
Work with Delta Lake, Unity Catalog, and Databricks platform capabilities.
Support data migration and modernization initiatives.
Integrate Databricks with cloud platforms such as AWS, Azure, or GCP.
Troubleshoot performance, scalability, reliability, and data pipeline issues.
Work with customer engineering, data science, architecture, and leadership teams.
Provide technical recommendations around data engineering, analytics, machine learning and artificial intelligence, and cloud architecture.
Create reference architectures, technical documentation, and implementation guidance.
Support production deployment and adoption of Databricks solutions.
Conduct technical workshops, enablement sessions, and knowledge-sharing activities.

Desired Qualifications

Experience with Delta Lake, Unity Catalog, MLflow, Kafka, streaming, data migration, MLOps, machine learning, generative AI, data governance, Terraform or continuous integration and continuous delivery, Snowflake, or the Hadoop ecosystem.

Resident solution architect

Weekday AI · India (Remote) · Full-time · Posted 2026-09-28

Workplace: remote

Department: Weekday's Client via platform

Description

This role is for one of Weekday’s clients
Min Experience: 9+ years
Location: India
JobType: full-time

We are looking for an experienced Resident Solutions Architect with strong expertise in Databricks, Apache Spark, Data Engineering and Cloud Data Platforms.

The RSA will work closely with enterprise customers to understand complex data and AI requirements, design scalable architectures, lead technical engagements and help customers successfully implement and productionize solutions on the Databricks platform.

The ideal candidate combines strong hands-on technical expertise with excellent customer-facing, consulting and communication skills.

Requirements

Key Responsibilities

Work directly with enterprise customers as a trusted technical advisor.
Understand customer business and technical requirements and translate them into scalable data architectures.
Design and implement modern Lakehouse / Data + AI architectures using Databricks.
Develop and guide POCs, technical workshops and architecture demonstrations.
Work extensively with Apache Spark / PySpark, SQL and Databricks.
Design scalable data ingestion, transformation and processing pipelines.
Work with Delta Lake, Unity Catalog and Databricks platform capabilities.
Support data migration and modernization initiatives.
Integrate Databricks with cloud platforms such as AWS, Azure or GCP.
Troubleshoot performance, scalability, reliability and data pipeline issues.
Work with customer engineering, data science, architecture and leadership teams.
Provide technical recommendations around data engineering, analytics, ML/AI and cloud architecture.
Create reference architectures, technical documentation and implementation guidance.
Support production deployment and adoption of Databricks solutions.
Conduct technical workshops, enablement sessions and knowledge-sharing activities.

Required Skills

Must Have

Strong experience with Databricks
Strong Apache Spark / PySpark
Strong SQL
Strong Data Engineering fundamentals
Experience designing data pipelines / data platforms
Experience with Lakehouse / Data Warehouse / Big Data architecture
Experience with at least one cloud:
AWS
Azure
GCP
Strong customer-facing / consulting experience
Architecture/design experience
Excellent communication and presentation skills

Good to Have

Delta Lake
Unity Catalog
MLflow
Kafka
Streaming
Data migration
MLOps
Machine Learning
GenAI
Data governance
Terraform / CI/CD
Snowflake
Hadoop ecosystem

Databricks' own Solutions Architect requirements similarly emphasize customer-facing architecture, big-data/data-science expertise, SQL, programming, cloud and the ability to translate customer needs into technical solutions.

Must-have skills

Data Engineering, Python, Solution Architecture

Good-to-have skills

SQL, azure, Databricks

Apply

Apply at Weekday AI

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size: 201-500
Company stage: Seed
Total funding: $2.3M
Headquarters: Bengaluru, India
Founded: 2021

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