Job Title - Head of Data EngineeringLocation: Kharadi, PuneExperience: 15+ years overall | 10+ years in Data Engineering & Analytics PlatformsDomain: US-based / Global Investment Banking & Financial ServicesRole SummaryWe are looking for a seasoned Head of Data Tools to lead, modernize, and scale enterprise data platforms supporting US-based and global Investment Banking clients. This role will own the end-to-end data ecosystem, covering ingestion, transformation, storage, analytics, and performance optimization across cloud-native and on‑prem environments.The role demands deep hands-on expertise in SQL, AWS, Snowflake, Redshift, and Qlik (Q), coupled with strong client-facing leadership, system re‑engineering, and AI‑enabled data engineering practices to deliver high-quality, high-performance, low-defect data solutions.Key ResponsibilitiesData Platform Architecture & StrategyOwn architecture and roadmap for enterprise-scale data platforms, including: AWS cloud-based data stacksSnowflake and Amazon RedshiftLarge, complex SQL-based data modelsDesign and drive modernization of legacy data platforms into scalable, cloud-native architectures.Ensure data platforms meet performance, scalability, security, and regulatory requirements for global investment banks.Define standards for data modeling, partitioning, optimization, and query performance.Data Engineering & ToolingLead the development and optimization of: Enterprise SQL pipelinesELT / ETL frameworksBatch and near–real-time data processingOversee analytics and visualization platforms including Qlik (Q) for business and operational insights.Drive consistent engineering practices across ingestion, transformation, and consumption layers.Implement strong data governance, lineage, metadata management, and quality controls.Delivery Excellence & QualityDrive engineering discipline to achieve: High data accuracyMinimal reconciliation issuesNear-zero production data defectsEstablish automated data validation, reconciliation, and monitoring frameworks.Enforce SLAs and SLOs for data availability and performance.Lead root-cause analysis and permanent fixes for data incidents.Client Engagement & InnovationAct as senior data advisor to client leadership (COOs, Heads of Data, Technology leads).Lead client discussions on: Data platform transformationPerformance optimizationCost optimization in cloud data platformsPropose innovative enhancements to existing data ecosystems that improve decision-making and business outcomes.Translate complex business requirements into scalable data solutions.People & Practice LeadershipLead and manage a large data organization (50+ resources) including: Data EngineersAnalytics EngineersBI DevelopersPlatform / Cloud Data EngineersBuild a high-performance data engineering culture focused on ownership, quality, and continuous improvement.Mentor senior engineers, architects, and emerging leaders.Drive capability building across modern data tools and cloud platforms.AI‑Enabled Data EngineeringChampion usage of AI across the data SDLC, including: SQL and pipeline acceleration using Copilot‑style toolsAI‑assisted query optimizationIntelligent data validation and anomaly detectionApply AI to: Improve development velocityReduce data defects and manual reconciliationEnhance performance tuning and cost optimizationEnsure AI adoption aligns with enterprise governance and compliance standards.Hands-on Technical LeadershipRemain hands-on at critical points to: Review complex SQL logic and data modelsGuide performance optimization in Snowflake and RedshiftSupport resolution of high‑impact data issuesAct as the technical escalation point for complex data problems.Required Skills & ExperienceMust-Have15+ years of overall IT experience with 10+ years in data engineeringStrong experience supporting US-based or global Investment Banking clientsDeep expertise in: Advanced SQLAWS Cloud (data services)SnowflakeAmazon RedshiftQlik (Q)Proven experience leading 50+ member data teamsStrong understanding of data security, governance, and regulatory requirementsExcellent client-facing communication and leadership skillsLeadership & Soft SkillsExceptional leadership, communication, and stakeholder-management capabilitiesAbility to inspire, motivate, and scale large technical teamsStrong problem-solving and decision-making skillsComfortable engaging senior client and executive stakeholdersGood to HaveExperience building a Data Center of Excellence (CoE)Exposure to real-time or streaming data platformsCloud cost optimization experienceCertifications in AWS, Snowflake, or data architectureInterested candidates can share their updated resume at or contact me at +91-9667834493.If the call is not reachable, please drop a message on WhatsApp on the same number, and I will get back to you.
Job Title
Head of Data Engineering