Data Analytics Technical Lead

Role Description

Data Analytics Technical Lead with extensive hands-on experience in Databricks, including advanced data engineering, lakehouse architecture, and performance optimization, supported by relevant Databricks certifications. Proven expertise leading enterprise-scale analytics initiatives across modern cloud and big data platforms.

• Well-rounded background spanning the full analytics ecosystem, including:
• AI/ML solutions and predictive analytics
• Data warehousing and ETL/ELT modernization
• Business intelligence and visualization tools such as Power BI and Tableau
• Cloud platforms primarily AWS
• Real-time and batch data processing frameworks
• Strong leadership experience managing and mentoring cross-functional analytics and engineering teams, driving delivery excellence, stakeholder alignment, and scalable data strategy execution.
• Adept at bridging technical implementation with business objectives to deliver actionable insights and enterprise data transformation outcomes.
• Proven technical leadership in designing and delivering scalable, end-to-end analytics and data engineering solutions leveraging Databricks, Delta Lake, PySpark, SQL, and AWS cloud services including S3, Glue, Lambda, Kinesis, and Redshift.
• Extensive experience building and optimizing batch, real-time, and streaming ETL/ELT pipelines within modern lakehouse architectures.
• Strong expertise in hands-on implementation of secure, high-performance, and cost-efficient cloud data platforms with a focus on data quality, governance, lineage, observability, and CI/CD-driven DevOps practices.
• Hands-on experience with advanced Databricks capabilities including Delta Live Tables (DLT), Unity Catalog, Workflows, and performance tuning of distributed Spark workloads.
• Experienced in supporting enterprise AI/ML, analytics, and reporting initiatives through curated and scalable datasets, with deep knowledge of visualization and BI platforms including Power BI and Tableau.
• Recognized leader with a track record of mentoring engineering teams, driving delivery excellence, establishing best practices, and collaborating cross-functionally with architects, data scientists, BI teams, security, and business stakeholders to align technical solutions with enterprise data strategy and business objectives.
• Holds Databricks Certified Data Engineer Professional certification along with strong expertise across modern analytics ecosystems and cloud-native data platforms.

Qualifications

• Extensive hands-on experience in Databricks
• Relevant Databricks certifications
• Strong expertise in AI/ML solutions and predictive analytics
• Experience with business intelligence and visualization tools such as Power BI and Tableau
• Proven technical leadership in analytics and data engineering solutions
• Strong leadership experience in managing cross-functional teams

Requirements

• Expertise in cloud platforms primarily AWS
• Experience with real-time and batch data processing frameworks
• Hands-on experience with Delta Lake, PySpark, SQL, and AWS services
• Experience in building and optimizing ETL/ELT pipelines
• Knowledge of data quality, governance, and CI/CD practices

Benefits

• Opportunity to lead enterprise-scale analytics initiatives
• Collaborative work environment with cross-functional teams
• Professional development and mentoring opportunities