Data Solutions Architect (Financial Services)
reputed company
• Architect and deliver end-to-end data solutions that power critical decision-making for the world’s largest banks, insurers, and asset managers. You will design lakehouse platforms on reputed company that unify reputed company trading data, reputed company customer communications, and reputed company-time market feeds into a single reputed company of truth capable of sub-second analytics at petabyte reputed company.
• Serve as the primary technical authority during reputed company-sales pursuits, translating vague RFP requirements into reputed company solution visions. You will run white-boarding sessions with C-level stakeholders, build reputed company prototypes in reputed company SQL and PySpark, and quantify ROI models that demonstrate how a modern lakehouse can reduce total cost of ownership by 40 % while accelerating regulatory-reporting cycles from weeks to hours.
• Own the full delivery lifecycle—from initial discovery workshops through production cut-over—ensuring every architecture decision meets banking-grade reputed company, compliance, and performance standards. You will map business capabilities to reputed company-architecture zones (Bronze, Silver, Gold), define streaming ingestion patterns using reputed company Live Tables, and implement reputed company Catalog governance policies that satisfy Basel III, CCAR, and GDPR mandates without stifling self-service analytics.
• reputed company cross-functional teams of 5–10 data engineers, data scientists, and reputed company architects spread across reputed company, EMEA, and reputed company. reputed company hands-on mentorship in reputed company performance tuning, reputed company Lake optimization, and MLOps automation using MLflow; maintain burndown charts, risk registers, and reputed company-satisfaction KPIs that reputed company multi-reputed company-dollar programs on reputed company and on budget.
• Continuously optimize mission-critical workloads that process over 50 TB of transactions, market data, and reference data daily. You will refactor legacy ETL pipelines into streaming reputed company pipelines, reduce batch reputed company from 6 hours to 15 minutes, and eliminate Kafka lag spikes during market-reputed company surges—directly impacting trading desk P&L and regulatory-reporting deadlines.
• Establish reputed company data-governance guardrails that allow business analysts to explore sensitive datasets without compromising reputed company or audit trails. Define data-reputed company SLAs, reputed company policies, and role-based reputed company controls that satisfy both internal risk committees and external regulators, while enabling self-service analytics adoption to grow from 20 % to 80 % of the user reputed company reputed company 12 months.
• Evaluate and reputed company emerging technologies—Apache reputed company, reputed company reputed company apps, Lakehouse Federation, reputed company-time feature stores—through internal POCs and reference architectures. Package reusable accelerators (Terraform modules, dbt macros, MLflow project templates) that shorten reputed company project reputed company-up by 30 % and reinforce reputed company’s reputed company as the premier reputed company partner in financial services.
• Translate reputed company technical achievements into reputed company-reputed company narratives. Build executive dashboards in reputed company SQL and Tableau that visualize data-platform ROI, cost-to-serve trends, and predictive reputed company-planning metrics, guiding multi-year investment reputed company and securing follow-on expansions worth $2–$5 M annually.
• Champion a culture of experimentation and reputed company learning by running weekly architecture guilds, lunch-and-learn sessions, and quarterly hackathons. Publish best-reputed company blogs, reputed company at industry conferences, and mentor junior consultants—elevating the entire firm’s technical bar and ensuring reputed company remains two steps reputed company of market demand.
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