Senior Data Technical Lead

Company Description

ERP Logic is a globally recognized SAP Cloud Solutions company, specializing in SAP implementation and application services. Since its inception in 2009, the company has grown significantly to over 1,000 employees and expanded its presence across the United States, Europe, the Middle East, India, and Israel. As one of the top three SAP reseller partners globally for SAP S/4HANA Grow and SAP S/4HANA Rise, ERP Logic serves over 500 customers, including both large enterprises and mid-sized companies. With deep expertise in SAP S/4HANA and SAP ECC, ERP Logic supports businesses in transitioning to advanced ERP systems with a customer-centric approach and sustainable solutions.

Role Description

This role leads the technical delivery of enterprise analytics and data solutions in a Microsoft first & Databricks environment. The position is accountable for turning business requirements into scalable, secure, supportable solutions across Databricks and Azure-based data platforms, while setting a high engineering bar through direct hands-on contribution.

Key Responsibilities

• Own end-to-end technical delivery for analytics and data solutions, from solution shaping and design through implementation, deployment, and production support

• Provide strong hands-on leadership in Power BI and Azure data engineering, including prototyping, architecture reviews, code reviews, troubleshooting, performance optimization, and implementation guidance

• Translate business requirements into practical technical solutions, define implementation approaches, validate estimates and dependencies, and actively manage delivery risk

• Establish and enforce engineering standards for semantic models, reporting, data pipelines, testing, deployment, monitoring, documentation, and support readiness

• Ensure solutions meet enterprise expectations for security, access control, data governance, quality, compliance, scalability, and maintainability

• Guide and challenge delivery teams and suppliers, identify technical debt and quality issues early, and drive remediation to achieve reliable delivery outcomes

Education, Experience and Skill-set Required

• Bachelor's degree in computer science, Information Systems, Engineering, or a related field, or equivalent practical experience

• 10+ years of experience in data, engineering, including 5+ years in a senior technical lead role with direct accountability for architecture quality and delivery outcomes

• Strong hands-on experience with Microsoft Azure and Microsoft Fabric data platforms, including Azure Databricks, Azure Data Factory, data lake patterns, SQL, Python, ETL/ELT design, orchestration, monitoring, and production support

• Proven ability to lead by example through solution design, prototyping, implementation support, code review, architecture review, defect triage, and technical problem solving

• Strong experience with enterprise governance, security, and supportability requirements, including access control, auditability, deployment discipline, documentation, and operational readiness

• Experience working in complex enterprise environments with multiple stakeholders, distributed delivery teams, and external suppliers

Good to have

• Experience in regulated industries such as life sciences, healthcare, or other compliance-heavy environments
• Expert-level hands-on experience with Power BI, SQL, and Python, including semantic modeling, DAX, Power Query, data analysis, automation, workspace and dataset governance, row-level security, deployment, and performance tuning
• Hands-on experience with Microsoft Fabric, Azure AI services, or analytics modernization initiatives in a Microsoft-first ecosystem
• Relevant Microsoft certifications in Power BI, Azure Data Engineering, Azure Architecture, or Fabric
• Experience supporting supplier screening, technical interviews, or quality assurance of vendor-delivered work

Core Technology Stack

• Microsoft Azure and Microsoft Fabric data platform services, primarily Azure Databricks, Azure Data Factory, Azure Data Lake, SQL, Python, and related orchestration, monitoring, and engineering capabilities
• Version control and delivery tooling such as Git, Azure DevOps, and CI/CD practice for analytics and data solutions
• Power BI Desktop and Power BI Service, together with SQL and Python, including DAX, Power Query, semantic models, workspace governance, deployment, automation, and performance optimization
• Governance and security practices relevant to Microsoft enterprise environments, including identity, access control, data protection, and operational support