IT Engineer,Software,Advanced
IN-KA-Bangalore
Global Careers (External)
Req #: 48290
Type: Regular
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Overview: Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are seeking a Lead Data Engineer with deep expertise in Snowflake and strong functional knowledge of Finance data to architect and deliver trusted, high-performing data products that support financial reporting, forecasting, planning, and compliance. In this role, you will work closely with Finance, FP&A, and Accounting teams to build pipelines and models that enable timely, data-driven decision-making. Responsibilities: 1. Snowflake Platform & Pipeline Ownership * Design and build robust ELT pipelines in Snowflake to integrate financial data from ERP systems (e.g., Oracle, SAP), billing platforms, and planning tools. * Deliver clean, well-modeled financial data marts for P&L analysis, cash flow, variance analysis, forecasting, and budget tracking. * Optimize Snowflake usage with efficient schema design, warehouse tuning, and compute/storage cost management. 2. Functional Partnership with Finance Teams * Collaborate with Finance, FP&A, and Accounting stakeholders to understand business processes, reporting requirements, and data dependencies. * Support financial reporting cycles (monthly close, audits, forecast submissions) by ensuring timely, reliable data pipelines. * Translate complex financial logic-such as allocations, consolidations, and time-based adjustments-into scalable data transformations. 3. Data Governance, Quality & Controls * Implement role-based access control, secure data zones, and masking policies to manage sensitive financial and employee data. * Partner with Data Governance teams to maintain data dictionaries, financial definitions, lineage documentation, and audit trails. * Apply rigorous data quality checks to ensure the integrity of financial metrics used in dashboards, planning models, and reports. 4. Technical Leadership & Best Practices * Lead the adoption of modern data engineering frameworks using tools like dbt, Matillion, and CI/CD pipelines for Snowflake. * Mentor junior engineers and analysts on SQL optimization, data modeling for finance, and best practices for code reuse and maintainability. * Drive continuous improvement in pipeline reliability, monitoring, and performance tuning. 5. Integration Across Finance Tech Stack * Integrate Snowflake with FP&A tools (e.g., Onestream) and BI/reporting platforms (e.g., Tableau, Power BI, Microstrategy). * Build reusable financial data products that serve multiple use cases-planning, tax, audit, compliance, and executive dashboards. Qualifications: Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** Required: * 5+ years of experience in data engineering, with at least 3 years working with Snowflake. * Proven experience with financial data domains including GL, AR, AP, P&L, balance sheet, and forecasting. * Strong SQL skills and hands-on experience with dbt, Matillion, or other ELT tools. * Integration experience with ERP systems (Oracle, SAP, NetSuite) and other financial tools. * Solid understanding of data modeling, cost controls, and platform performance optimization. Preferred: * Snowflake SnowPro Certification. * Familiarity with SOX, GAAP, or audit-related data requirements. * Experience supporting FP&A, Treasury, or Controllership teams. * Knowledge of financial hierarchy management, time-series modeling, and period-based aggregation logic.
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