Design, develop, and maintain data pipelines and ETL processes
Optimize and enhance existing ETL processes for performance and scalability
Support high-level SSIS and Azure Data Factory for both Data Warehouse and general Data Integration efforts
Partner with other developers and IT resources regarding ETL initiatives
Collaborate with data architects, data analysts, and business stakeholders to understand data requirements and translate them into ETL solutions
Requirements
Bachelor’s degree or foreign equivalent in Information Technology Management, Computer Information Sciences, Computer Science, Data Science, or a related field
Master’s degree or foreign equivalent in Information Technology Management, Computer Information Sciences, Computer Science, Data Science, or a related field
Choose, set up and own the data warehouse (for example BigQuery) and the pipelines that load data from ad platforms, mobile measurement partner, website and apps, trading platforms, payment providers and Zoho CRM
Implement tracking of all marketing and funnel events on web and mobile apps, under one agreed event taxonomy
Build end-to-end attribution: for every user, see the channel, campaign and creative they came from, through registration, KYC, first deposit (FTD) and trading
Build funnel reporting that shows conversion rate per step and where users drop off, by channel, country and product
As a Data Platform Digital Solution Engineer (DSE), you will play a pivotal role in helping enterprises unlock the full potential of Microsoft’s cloud database and analytics stack across every stage of deployment. You will work directly with technical and business stakeholders to design secure, scalable, and resilient database and analytics architectures that support business-critical applications and Frontier AI transformation.
Responsibilities
Lead Databases & Analytics customer engagements.
Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.
Drive technical workshop using live demos, co-create with customers whiteboarding & architecture, rapid prototyping, hands-on proofs of concept & pilots to resolve technical blockers.
Prove technical solutions, co-create or re-use existing architecture to influence solution design and enable customer commitment for deployments.
Maintain deep expertise in Analytics Portfolio: Microsoft Fabric including OneLake, Azure Databricks, and Azure Databases: SQL DB, Cosmos DB, PostgreSQL.
Principal‑level individual contributor responsible for architecting, delivering, and governing enterprise‑grade advanced analytics and machine learning solutions that materially influence strategic decisions, financial performance, operational efficiency, and regulatory posture.
Compensation
This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 – $180,000.00 annually, based on role scope, experience, and market considerations. This position is not eligible for bonus or incentive compensation.
Responsibilities
Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise‑level decision‑making across healthcare, operations, finance, and customer/member domains.
Own end‑to‑end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning.
Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility.
Design analytics solutions natively within the Microsoft cloud analytics stack, ensuring alignment to enterprise data architecture and governance standards.
Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex business questions into high‑impact, production‑ready analytics.
Requirements
Master's degree in data science, statistics, mathematics, computer science, engineering, or related field
Commercial and Institutional Lending Platform Training Manager OR Training Lead
Leads training initiatives for the Commercial & Institutional Lending Domain, managing learning programs, facilitation, evaluation, and project leadership.
Locations (2)
Cleveland, Ohio, United States
127 Public Square, Ohio, United States
Compensation
This position is eligible to earn a base salary in the range of $96,000.00 - $181,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Responsibilities
Leads the training initiatives for the C&I Lending Domain
Creates and manages learning programs for new lending platforms
Leads the implementation and facilitation of learning experiences
Monitors, evaluates and leads accountability for training program results
Lead development and maintenance of global HR applications, integrating data solutions and advanced analytics.
Compensation
The pay range for this position at commencement of employment is expected to be between $90,000 -$125,000 per year* (see below footnote for additional compensation and benefits information).
Responsibilities
Manage and support HR business applications, including problem resolution and issue ownership
Support data analytics and data science initiatives with optimized data structures and AI/ML tools
Manage vendor products and their integrations with internal/external applications
Gather requirements and translate functional needs into technical specifications
Perform QA and impact analysis when rolling out enhancements to HR systems
Requirements
Bachelor’s degree in computer science or engineering or equivalent
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