Senior Big Data Engineer

Role: Senior Big Data Engineer Location: Atlanta, GA 30328, GA Working Module: Onsite – Hybrid (Work from office 3–4 days per week) Employment Type: Contract Contract Duration: 12 Months + possible extension Experience Required: 10+ years 1099 candidates only. Must have skills: • Data Engineering and Integration Expertise, Data Governance and Security Knowledge, Data Modelling (Capable), Technical delivery, Databricks. • Offshore & Client management Job Description: • Oversee the delivery of data projects, including data pipelines, warehouses, lakes, and analytics platforms. • Collaborate with architects, data engineers, and data scientists to deliver robust and scalable data solutions. • Provide hands-on guidance on data modelling, ETL/ELT workflows, and cloud-based data architectures. • Develop and execute detailed project plans to ensure timely delivery within scope and budget. • Manage competing priorities across multiple data delivery streams. • Drive adherence to Agile or hybrid project management methodologies. • Stakeholder Engagement Serve as the primary technical liaison between clients and delivery teams for all data-related initiatives. • Understand client requirements, translating business goals into actionable data solutions. • Conduct regular status updates and stakeholder reviews to ensure alignment and satisfaction. • Team Coordination Lead onshore and offshore teams to deliver high-quality data solutions. • Foster a collaborative work environment, ensuring effective communication and teamwork. • Identify and address skill gaps within the team through mentorship or training. • Data Quality and Governance: Implement data governance policies, ensuring compliance with standards and regulations. • Oversee data quality initiatives, including validation, monitoring, and issue resolution. • Promote the adoption of best practices for data security, integrity, and privacy. • Risk and Issue Managemen:t Identify delivery risks and develop mitigation strategies. • Address technical and operational challenges proactively, escalating issues when necessary. • Reporting and Metrics Track and report on delivery metrics, including data accuracy, timeliness, and system performance. • Provide regular updates to leadership on project health, risks, and financials.