What you will be responsible for:

We are seeking a Databricks and Splunk Engineer to join the Fusion Analytics and Data Engineering team, focused on advancing enterprise security observability and supporting the Enterprise Log Telemetry Monitoring initiative. The role combines deep Splunk engineering, Databricks-based analytics, cyber threat detection support, and practical security operations experience to convert security-relevant telemetry into reliable, actionable insights.

This engineer will help identify telemetry and implementation gaps, build dashboards and analytics, strengthen detection strategy, and maintain accurate documentation, workflows, and technical processes. The ideal candidate is hands-on, analytical, comfortable working across large-scale SIEM ecosystems, and passionate about enabling others through knowledge sharing, workshops, and operational best practices

What we value:

• Use deep Splunk expertise to understand security data, write high-quality SPL, and provide solid analysis that drives and supports the cyber threat detection strategy.
• Implement and enhance security observability capabilities using the Splunk and Databricks stack.
• Support the build-out of Enterprise Log Telemetry Monitoring by analyzing, scaling, and operationalizing security data into actionable insights.
• Design, develop, and maintain Splunk queries, dashboards, data visualizations, and Databricks analytics assets for security and observability use cases.
• Perform advanced analytics across security-relevant data sources, including endpoint, web proxy, firewall, and related telemetry sources.
• Identify log telemetry gaps, onboarding issues, data quality concerns, and implementation gaps that may impact detection coverage or observability outcomes.
• Partner with SOC, security engineering, data engineering, and platform teams to troubleshoot telemetry issues and improve detection readiness.
• Document workflows, procedures, dashboards, technical configurations, and operational processes to support long-term knowledge management.
• Ensure documents, workflows, and processes remain accurate, current, and aligned with evolving security observability and detection requirements.
• Participate in internal events, knowledge-sharing sessions, and workshops to share team challenges, successes, lessons learned, and reusable engineering practices.

Mandatory skills / experience:

• Fluency in SPL, including the ability to write efficient queries, build dashboards, and support security analytics use cases in Splunk.
• Hands-on experience with Databricks, SQL, and Python for large-scale analytics, data exploration, enrichment, transformation, and insight generation.
• Experience working as a lead technical analyst, security analytics engineer, data engineer, or engineer embedded in a SOC or security operations environment.
• Ability to quickly analyze unfamiliar security data sources and generate practical insights for detection, observability, and operational decision-making.
• Strong understanding of endpoint security products, endpoint telemetry, and common enterprise security data sources.
• Experience with large, enterprise-scale SIEM ecosystems and the operational realities of scaling security telemetry.
• Working knowledge of cloud technologies, preferably Azure and AWS, and how cloud platform telemetry supports security monitoring and analytics.
• Strong analytical skills with the ability to translate complex data patterns into clear, actionable recommendations.
• Excellent documentation skills and the discipline to keep workflows, technical procedures, and process artifacts current.
• Passion for learning, sharing knowledge, mentoring others, and enabling the growth of security analytics and engineering teams.

Additional requirements / Good to have skills:

Key Capabilities : SPL, dashboards, analytics, SQL, Python

Preferred Cloud : Azure and AWS

Primary Platforms : Splunk, Databricks

Data Domains : Endpoint, web proxy, firewall, and other security telemetry

Core Focus : Enterprise security observability and threat detection

Mode of work:

Frequent Hybrid (4 days on-site / week)

Additional information (if any):

Keywords:

Data Engineering and Security Analytics with AI Capabilities

Are you the right candidate? Yes!

We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.

Why this role is important to us:

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

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About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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