Sigmoid

Real-time ad analytics and bid optimization

DataOps Architect/Lead

Data EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

8–10+ years of overall experience in data engineering or cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role.
At least 2 years of hands-on Microsoft Fabric experience.
At least 4 years of hands-on Azure Databricks experience.
A proven track record of designing and delivering enterprise-scale Azure data platforms end to end.
Azure experience is mandatory.
Expertise in Azure Solution Architecture, Fabric Architecture, Databricks Architecture, Enterprise Data Architecture, Security and Governance, and Client Advisory and Consulting.

Responsibilities

Own end-to-end architecture and translate requirements into scalable, secure, cost-effective designs.
Design enterprise-scale Fabric and Databricks architecture, including workspace, networking, security, and governance.
Set standards for CI/CD, infrastructure as code, DataOps, and environment management; ensure enterprise security and regulatory compliance.
Evaluate technology options, identify architectural risks, and define mitigation strategies.
Act as the primary architecture point of contact for the client; lead workshops and present trade-offs and roadmaps to senior stakeholders.
Provide technical oversight across implementation teams and conduct architecture and design reviews.
Mentor Leads and Architects; establish reusable reference architectures and engineering standards.

Desired Qualifications

Experience across multiple client engagements or a consulting/systems integration background.
Cost and performance optimization.
Data-mesh or data-product exposure.
Client-industry experience.
Multi-cloud exposure, including AWS or GCP.

Role: DataOps Solution Architect — Azure Data Platform (Fabric & Databricks)

Owns end-to-end architecture of the Azure data platform (Fabric, Databricks, Azure services) and sets the governance, security, and DataOps standards engineering teams implement. Design authority and primary architecture advisor to the client, not the day-to-day builder.

Experience Required

8-10+ years overall in data engineering / cloud architecture, including 3+ years as a Solution Architect or in a comparable design-authority role.
Microsoft Fabric: 2+ years hands-on.
Azure Databricks: 4+ years hands-on.
Proven track record designing and delivering enterprise-scale Azure data platforms end-to-end.
Azure is mandatory; experience across multiple client engagements or a consulting/SI background is a plus.

Core Technical Expertise

Azure Platform

Fabric & Databricks architecture.
ADF.
ADLS.
Entra ID.
Key Vault.
Monitor/Log Analytics.

Microsoft Fabric

Workspace & environment strategy.
Lakehouse/Warehouse.
OneLake.
Pipelines/Notebooks.
REST APIs/CLI.
Governance.

Azure Databricks

Workspace strategy.
Unity Catalog.
RBAC.
Jobs/Workflows.
Delta Lake.
Asset Bundles.
ML platform integration.

DevOps & IaC

Azure DevOps/GitHub CI/CD.
Terraform & Bicep.
Branching/release strategy.
Reusable IaC modules.

Security & Networking

Entra ID.
RBAC architecture.
Private Endpoints/DNS.
Key Vault integration.

DataOps Standards

CI/CD & test gates for pipelines.
Data-quality frameworks.
Observability/alerting architecture.
SLAs/SLOs.
Incident-management practices.
FinOps guardrails.

Key Responsibilities

Own end-to-end architecture; translate requirements into scalable, secure, cost-effective designs.
Design enterprise-scale Fabric/Databricks architecture including workspace, networking, security, and governance.
Set standards for CI/CD, IaC, DataOps, and environment management; ensure enterprise security and regulatory compliance.
Evaluate technology options; identify architectural risks and define mitigation strategies.
Act as the primary architecture point of contact for the client; lead workshops and present trade-offs and roadmaps to senior stakeholders.
Provide technical oversight across implementation teams; conduct architecture and design reviews.
Mentor Leads and Architects; establish reusable reference architectures and engineering standards.

Competencies, Certifications & Education

Must-have

Azure Solution Architecture.
Fabric Architecture.
Databricks Architecture.
Enterprise Data Architecture.
Security & Governance.
Client Advisory & Consulting.

Good-to-have

Cost & performance optimization.
Data-mesh/data-product exposure.
Client-industry experience.
Multi-cloud (AWS/GCP) exposure.

Note:

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

About the Company

Sigmoid

Real-time ad analytics and bid optimization

Sigmoid analyzes real-time ad bid and auction data to optimize advertising spend and revenue. The platform, SigView, processes billions of ad impressions in real time to deliver business intelligence, sales forecasting, trend analysis, and bid optimization for both buy-side players (buyers, DSPs, ad networks) and sell-side players (SSPs, ad exchanges). It is subscription-based, granting clients instant access to bid and auction data for ad hoc exploration and informed decision-making. Compared with competitors, Sigmoid combines real-time, large-scale data analytics across both sides of the market and provides a unified view for optimizing campaigns and revenue, rather than offering a single-side solution.

Company size: 1,001-5,000
Company stage: Series B
Total funding: $12M
Headquarters: Jersey City, NJ
Founded: 2013

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