Lead Data Engineer bei Talworx

one of the leading healthcare technology Product organizations with $1.4 Billion revenue with year-on-year growth of 22% and client retention rate of 120%. we offer wide range of innovative solutions to the healthcare payers, providers, and consumers. Our services include network analytics, payment integrity and optimization, provider credentialing, and provider engagement. 

Requirements

As a Lead Data Engineer, you will architect, design, and oversee the development of scalable batch and real-time data pipelines across cloud and on-prem environments. You’ll drive data integration strategies, dimensional modeling, and data governance initiatives while mentoring junior engineers and collaborating with cross-functional teams. Your role will be pivotal in shaping the data infrastructure and ensuring high-quality, secure, and performant data solutions that support enterprise analytics and reporting.

🛠 Responsibilities

• Architect and implement robust ETL/ELT pipelines for Data Warehouses and Data Lakes using modern frameworks and tools
• Lead the design of dimensional data models and ensure alignment with enterprise data architecture standards
• Oversee the development and maintenance of SQL-based solutions including stored procedures, views, triggers, and functions
• Guide the team in optimizing SQL queries and database performance tuning
• Define and enforce best practices for data quality, lineage, and auditability across all pipelines
• Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into scalable solutions
• Own the CI/CD strategy for data engineering workflows using Azure DevOps and Git
• Ensure compliance with privacy and security standards (e.g., HIPAA, SOC 2, ISO 27001)
• Maintain and evolve documentation including source-to-target mappings, design specs, and test cases
• Lead root cause analysis and resolution of data issues across environments
• Champion continuous improvement initiatives and evaluate emerging technologies for adoption

📌 Requirements

• 12+ years of experience in data engineering, including extensive experience in ETL/ELT development, data modeling, and performance tuning
• 5+ years of experience leading data engineering teams or projects
• Expert-level proficiency in SQL Server and T-SQL (procedures, triggers, views, indexing strategies)
• Deep experience with SSIS and cloud-based ETL tools (DBT preferred)
• Strong understanding of Data Lake and Data Warehouse architectures (Azure Synapse, Snowflake, Redshift, etc.)
• Proven experience designing and implementing dimensional models for enterprise-scale analytics
• Hands-on experience with Azure Data Factory, Azure DevOps, Git, and CI/CD pipelines
• Working knowledge of AWS and Azure cloud ecosystems
• Experience with reporting tools such as Power BI, SSRS, and Tableau
• Familiarity with Agile methodologies, Jira, and Confluence
• Strong business acumen with experience in healthcare, fintech, or payment processing domains

🌟 Preferred Skills

• Experience with data governance frameworks and metadata management
• Exposure to real-time data streaming technologies (Kafka, Spark Streaming, etc.)
• Experience mentoring junior engineers and conducting code reviews
• Strong stakeholder management and communication skills
• Experience with data cataloging tools and lineage tracking (e.g., Azure Purview, Alation)

🧭 Leadership & Accountability

• Operates with high autonomy and accountability for deliverables and team outcomes
• Sets technical direction and drives execution across multiple projects
• Coaches and mentors team members to elevate engineering standards
• Proactively identifies risks and mitigation strategies
• Collaborates across engineering, product, and business teams to align data initiatives with strategic goals

🧩 Problem Solving & Innovation

• Demonstrates advanced analytical and troubleshooting skills
• Leads complex data investigations and drives resolution
• Innovates and proposes scalable solutions to evolving data challenges
• Prioritizes effectively and manages competing demands with clarity and focus

Benefits

Insurance Coverage  

• Paid Leaves – including maternity and paternity.  • Financial assistance for medical crisis  

• Customized Mindfulness and Wellness programs  • Hybrid Work Model  

• Certification trainings for technical and soft skills  • Access to unlimited LinkedIn Learning platform  • Community networking and idea creation platforms  • Mentorship programs  

• Self-driven career progression tool.