Lead - Data Engineering

As a Lead - Data Engineering at Lera Technologies, you will play a crucial role in driving data-driven transformation for key client engagements. Here is a breakdown of what you can expect in this role: Role Overview: You will be responsible for owning the data strategy, architecture, and engineering roadmap for key client engagements. Your main duties will include: - Leading the design and development of scalable, secure, and high-performance data pipelines, marts, and warehouses - Mentoring a team of data engineers and collaborating with BI/reporting teams and solution architects - Overseeing data ingestion, transformation, consolidation, and validation across cloud and hybrid environments - Championing best practices for data quality, data lineage, and metadata management - Evaluating emerging tools and technologies, engaging with stakeholders to translate analytics needs into scalable data solutions, and monitoring performance to optimize storage and processing layers for efficiency and scalability Key Responsibilities: - Own the data strategy, architecture, and engineering roadmap for key client engagements - Lead design and development of scalable, secure, and high-performance data pipelines, marts, and warehouses - Mentor a team of data engineers and collaborate with BI/reporting teams and solution architects - Oversee data ingestion, transformation, consolidation, and validation across cloud and hybrid environments - Champion best practices for data quality, data lineage, and metadata management - Evaluate emerging tools, technologies, and frameworks to enhance platform capabilities - Engage with business and technical stakeholders to translate analytics needs into scalable data solutions - Monitor performance and optimize storage and processing layers for efficiency and scalability Qualifications Required: - 7+ years of experience in Data Engineering, including SQL/PLSQL/TSQL, ETL development, and data pipeline architecture - Strong command of ETL tools (SSIS or equivalent) and Data Warehousing concepts - Expertise in data modeling, architecture, and integration frameworks - Experience leading data teams and managing end-to-end data delivery across projects - Hands-on knowledge of BI tools (Power BI/Tableau/SAP BO/OBIEE) and their backend integration - Proficiency in big data technologies and cloud platforms (Azure, AWS, or GCP) - Programming experience in Python, Java, or equivalent languages - Proven experience in performance tuning and optimization of large datasets - Strong understanding of data governance, data security, and compliance best practices - Excellent communication, stakeholder management, and team mentoring abilities Desirable Skills: - Leadership experience in building and managing high-performing data teams - Exposure to data mesh, data lake house architectures, or modern data platforms - Experience defining and enforcing data quality and lifecycle management practices - Familiarity with CI/CD for data pipelines and infrastructure-as-code Make a significant impact on clients" success while growing professionally in a diverse and inclusive environment. Apply now to lead cutting-edge projects and shape the digital future with LERA Technologies.,