Lead data strategy, design scalable data architectures and pipelines, and apply advanced analytics/ML to generate business insights. Mentor teams, collaborate cross-functionally, drive data governance, and use cloud and big data tools to build and visualize data solutions for financial clients.
Key Responsibilities:
- Data Strategy & Architecture:
- Develop and implement data strategies aligned with business objectives.
- Design and maintain scalable, high-performance data architectures and solutions.
- Build and manage data pipelines, integrating data from various sources, ensuring data quality and accessibility.
- Advanced Analytics & Insights:
- Lead the use of advanced analytics, machine learning, and AI to derive insights from large datasets.
- Collaborate with business stakeholders to understand requirements and deliver actionable insights that influence decision-making.
- Design and deploy predictive and prescriptive analytics models to optimize business processes.
- Technical Leadership & Collaboration:
- Mentor junior data engineers and analysts, providing guidance on technical best practices.
- Collaborate with cross-functional teams (IT, business units, data scientists) to identify and resolve data-related challenges.
- Drive the adoption of data governance practices to ensure data integrity, privacy, and compliance.
- Tools & Technology:
- Utilize big data technologies, cloud platforms, and analytics tools (e.g., Hadoop, Spark, Azure, AWS, Power BI, Tableau, Python).
- Develop and optimize complex SQL queries for data extraction and transformation.
- Leverage visualization tools to present data in a clear and concise manner to non-technical stakeholders.
Qualification
- 15+ years of experience in Information Technology with proven track record of delivering high profile projects or managing products.
- Extensive hands-on experience in cloud based data platform technologies including relational and non-relational databases (DynamoDB, Bigtable, Cassandra), data warehouses (Snowflake, RedShift, BigQuery), caching (Redis), data science and machine learning tools, and related programming languages (Python, SAS, SQL)
- Experience with data visualization tools like Tableau or Power BI.
- Hands on experience in building and optimizing data pipelines using technologies like Kafka, Airflow, Spark, Hive, Kubernetes
- Proficient in building and managing data platform in cloud technologies like AWS/GCP
- Ability to assess the code if needed and provide actionable suggestions on designs and implementations.
- Experience in working with financial clients and domain
Compensation, Benefits and Duration
Minimum Compensation: USD 74,000
Maximum Compensation: USD 259,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Information Technology
Sell CDW Security services and products across the full sales lifecycle. Develop strategic account plans, build relationships with enterprise clients and partners, manage pipeline and forecasts in Salesforce, coordinate cross-functional resources, mentor junior sellers, represent CDW at events, and achieve bookings, revenue, and profit targets while tracking market trends and driving customer security program adoption.
Top Skills:
AICloud SecurityData PrivacyEmerging Security TechnologiesIdentity And Access ManagementPhysical SecuritySalesforceSecure InfrastructureThird-Party Risk ManagementThreat And Vulnerability Management
Information Technology
Sell CDW Security services and products, manage full sales lifecycle, develop strategic account plans, build and grow client and partner relationships, coordinate internal resources, maintain Salesforce pipeline and forecasts, mentor junior sellers, represent CDW at industry events, and meet bookings, revenue, and profit targets.
Top Skills:
AICloud SecurityCyber Workforce DevelopmentEmerging Security TechnologiesIdentity And Access ManagementPhysical SecurityPrivacyRisk And ComplianceSalesforceSecure InfrastructureThird-Party Risk ManagementThreat And Vulnerability Management
Information Technology
Sell CDW Security services and products through full sales lifecycle management: strategic account planning, opportunity qualification, relationship building, partnering with services and OEMs, pipeline forecasting, and closing. Mentor junior team members, engage partners and marketing, maintain Salesforce, represent CDW at industry events, and drive revenue, bookings, and gross profit targets.
Top Skills:
Salesforce
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
