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Principal Observability Architect (Splunk & Databricks) at Scicom Infrastructure Services · Katori

Asks for

The ad says“Amazon Web Services”
The ad says“Microsoft Azure”
The ad says“We are seeking a highly experienced Principal Observability Architect to lead the design, implementation, modernization, and optimization of enterprise-scale observability and analytics platforms. This role will serve as the technical authority for log management, observability engineering, telemetry pipelines, AIOps, security analytics, and data lakehouse architectures leveraging Splunk, Databricks, Cribl, OpenTelemetry, and cloud-native technologies.”
The ad says“We are seeking a highly experienced Principal Observability Architect to lead the design, implementation, modernization, and optimization of enterprise-scale observability and analytics platforms. This role will serve as the technical authority for log management, observability engineering, telemetry pipelines, AIOps, security analytics, and data lakehouse architectures leveraging Splunk, Databricks, Cribl, OpenTelemetry, and cloud-native technologies.”
The ad says“Databricks Lakehouse”
The ad says“Databricks SQL”
The ad says“Delta Lake”
The ad says“Delta Live Tables”
The ad says“Enterprise Security”
The ad says“Google Cloud”
The ad says“Genie”
The ad says“Iceberg”
The ad says“Kafka”
The ad says“Lakehouse Federation”
The ad says“Mosaic AI”
The ad says“OCSF”
The ad says“We are seeking a highly experienced Principal Observability Architect to lead the design, implementation, modernization, and optimization of enterprise-scale observability and analytics platforms. This role will serve as the technical authority for log management, observability engineering, telemetry pipelines, AIOps, security analytics, and data lakehouse architectures leveraging Splunk, Databricks, Cribl, OpenTelemetry, and cloud-native technologies.”
The ad says“Python”
The ad says“REST APIs”
The ad says“Spark”
The ad says“SPL Development”
The ad says“We are seeking a highly experienced Principal Observability Architect to lead the design, implementation, modernization, and optimization of enterprise-scale observability and analytics platforms. This role will serve as the technical authority for log management, observability engineering, telemetry pipelines, AIOps, security analytics, and data lakehouse architectures leveraging Splunk, Databricks, Cribl, OpenTelemetry, and cloud-native technologies.”
The ad says“Splunk Cloud”
The ad says“Splunk Enterprise”
The ad says“Splunk ITSI”
The ad says“SQL”
The ad says“Structured Streaming”
The ad says“Unity Catalog”

Position Summary

We are seeking a highly experienced Principal Observability Architect to lead the design, implementation, modernization, and optimization of enterprise-scale observability and analytics platforms. This role will serve as the technical authority for log management, observability engineering, telemetry pipelines, AIOps, security analytics, and data lakehouse architectures leveraging Splunk, Databricks, Cribl, OpenTelemetry, and cloud-native technologies.

The ideal candidate possesses deep expertise in traditional observability platforms (Splunk, Dynatrace, AppDynamics, ServiceNow ITOM) and modern data lakehouse architectures utilizing Databricks, Delta Lake, Unity Catalog, and AI/ML-driven analytics. This individual will drive the strategic transformation from legacy SIEM and observability platforms toward scalable, cloud-native observability data lakes.

Key Responsibilities

Enterprise Architecture & Strategy

Define enterprise observability architecture standards, patterns, and roadmaps.
Lead observability transformation initiatives involving Splunk modernization and Databricks adoption.
Develop reference architectures for telemetry ingestion, storage, analytics, security, and AI-driven operations.
Align observability strategies with business, security, compliance, and operational objectives.
Create executive-level architecture presentations, business cases, and technology roadmaps.

Splunk Platform Leadership

Architect large-scale Splunk Enterprise and Splunk Cloud environments.
Design and optimize:
- Indexer clusters
- Search head clusters
- Forwarder architectures
- Deployment servers
- Data models
- ITSI implementations
Define ingestion, retention, indexing, and data lifecycle strategies.
Lead migration initiatives involving:
- Splunk to Databricks
- Heavy Forwarders to Cribl
- SIEM modernization programs
Optimize SPL searches, data models, summary indexing, and dashboard performance.

Databricks & Lakehouse Architecture

Architect enterprise observability data lake solutions using:
- Databricks Lakehouse
- Delta Lake
- Unity Catalog
- Delta Live Tables
- Structured Streaming
- Mosaic AI
- Genie
Design Medallion Architectures:
- Bronze
- Silver
- Gold
Develop governance strategies including:
- RBAC
- Data masking
- Data lineage
- Audit controls
Create high-performance log analytics solutions capable of supporting petabyte-scale telemetry environments.
Enable self-service analytics and AI-powered observability use cases.

Telemetry & Data Engineering

Design ingestion architectures supporting:
- OpenTelemetry
- OCSF
- Syslog
- Kafka
- Azure Event Hubs
- AWS Kinesis
- GCP Pub/Sub
- Cribl
Define normalization and enrichment frameworks.
Establish data quality and schema management processes.
Design real-time and batch processing pipelines.

AIOps & Advanced Analytics

Lead implementation of:
- AIOps
- Predictive analytics
- Root cause analysis
- Anomaly detection
- Event correlation
Integrate observability datasets with AI/ML platforms.
Develop observability use cases leveraging:
- Mosaic AI
- Agentic AI
- LLMs
- Generative AI
Build operational intelligence and executive KPI dashboards.

Security & Compliance

Architect observability solutions supporting:
- SOC operations
- Threat hunting
- Security analytics
- Compliance reporting
Design frameworks aligned with:
- HIPAA
- PCI-DSS
- SOX
- NIST
- ISO 27001
Implement data governance and security controls across observability platforms.

Leadership & Governance

Provide technical leadership to engineering teams.
Mentor architects, engineers, and developers.
Conduct architecture reviews and design governance.
Define platform standards, best practices, and operational procedures.
Engage directly with executive stakeholders and business leaders.

Required Qualifications

Experience

10+ years of experience in Enterprise Observability, Monitoring, or Security Analytics.
5+ years architecting large-scale Splunk environments.
3+ years designing Databricks Lakehouse architectures.
Experience managing environments exceeding:
- 50 TB/day preferred
- 100+ TB/day strongly preferred
Experience leading enterprise transformation programs.

Splunk Expertise

Deep expertise in:

Splunk Enterprise
Splunk Cloud
Splunk ITSI
Enterprise Security
SPL Development
Data Models
Indexer Clustering
Search Head Clustering
SmartStore
Heavy Forwarders
Universal Forwarders

Databricks Expertise

Strong experience with:

Databricks Lakehouse
Delta Lake
Unity Catalog
Delta Live Tables
Structured Streaming
Databricks SQL
Genie
Mosaic AI
Lakehouse Federation

Cloud Platforms

Experience with one or more:

Microsoft Azure
Amazon Web Services
Google Cloud

Data Technologies

Strong knowledge of:

Kafka
OpenTelemetry
OCSF
Iceberg
Spark
SQL
Python
REST APIs
Event Streaming Architectures

Preferred Qualifications

Experience with Cribl Stream and Cribl Edge
Experience with Dynatrace, AppDynamics, Datadog, or New Relic
Experience with ServiceNow ITOM/Event Management
Experience designing AI/ML operational analytics solutions
Experience with Security Data Lakes and SIEM modernization initiatives
Experience with FinOps and cloud cost optimization
Experience building observability platforms for healthcare, financial services, retail, or large enterprise organizations

Certifications (Preferred)

Splunk

Splunk Enterprise Certified Architect
Splunk Core Certified Consultant

Databricks

Databricks Certified Data Engineer Professional
Databricks Certified Solutions Architect

Cloud

Azure Solutions Architect Expert
AWS Solutions Architect Professional
Google Professional Cloud Architect

Success Metrics

Within the first 12 months, the architect will:

Deliver enterprise observability architecture roadmap.
Reduce observability platform costs through modernization initiatives.
Design and implement a scalable observability data lake architecture.
Improve telemetry ingestion performance and reliability.
Enable AI-powered analytics and operational intelligence capabilities.
Establish enterprise governance standards for observability and security telemetry.
Support petabyte-scale observability and security analytics workloads.

Ideal Background

Candidates from organizations utilizing large-scale observability environments such as healthcare, banking, retail, telecommunications, logistics, cloud providers, or managed services organizations are highly desirable. Experience supporting environments generating 100TB+ of telemetry per day and integrating Splunk, Databricks, Cribl, OpenTelemetry, and cloud-native data platforms is strongly preferred.

Asks for

Values