Senior Data Architect
4 days ago
At Data Labs - LANDMARK GROUP, we're seeking a highly skilled Lead Data Engineer to join our team. As a key member of our engineering team, you will be responsible for leading the architecture, design, and delivery of enterprise-grade microservices. Your expertise in data engineering will enable us to build and deploy cutting-edge analytics products for consumption by different stakeholders.
Key Responsibilities:
- Lead our engineering team in successfully building and deploying analytics products.
- Design and deliver enterprise-grade microservices.
- Partner with Product Management, Architects, Operations, and other delivery teams to ensure effective launch and delivery of projects.
- Help define the Technical Roadmap and own the entire engineering spectrum end-to-end.
- Improve, optimize, and identify opportunities for efficient data engineering processes.
- Exhibit strong leadership and communication skills to collaborate with product managers, technology, and management teams across different geographic locations.
- Drive automated solutions that enable better efficiency and process improvement.
- Grow and manage the skills and talent in the team.
- Manage communication cross-functionally and escalate promptly as issues arise.
- Build and maintain strong working relations with senior internal and external stakeholders.
- Create a culture that insists on meeting expectations and delivering value.
- Excellent problem-solving skills.
- Work with Central IT to ensure integrations of products with downstream and upstream tools.
- Ensure timely fulfillment of requirements at the platform end to ensure timely delivery of projects.
- Ensure cost optimization and budget management at Data engineering end by implementing automated alerts, cost dashboards, and proper guardrails for platform utilization by data engineers and business analysts.
- Timely communication to internal stakeholders on platform events such as downtime, upgrade, etc.
- Platform stability and maintaining the discussed SLA for services.
Requirements:
- Bachelor's or master's degree in computer science, Information Systems, or equivalent field.
- A total of 8+ years of industry experience with 5+ years of experience in architecting and/or developing and delivering end-to-end products/solutions in Analytics domain.
- Minimum of 4+ years of experience in managing 10-15 Scrum teams.
- Strong understanding of CS Fundamentals, Data Structures, Algorithms, and Problem Solving.
- Should be comfortable in working within Microsoft Azure on services like Azure Data Factory, Azure Synapse, Azure DevOps, Azure DataBricks, etc.
- Experience in microservice architecture, domain-driven design, and RESTful Services.
- Experience working in a distributed/cloud-based environment (e.g. Azure, Amazon, Rackspace, GCP, etc.).
- Exposure to continuous integration, unit testing, static analysis, and automated integration tests.
- Continuous delivery experience preferred.
- Experience with massive-scale performance and scalability engineering.
- Very strong understanding and experience in software development lifecycle.
- 4+ years of experience in a DevOps environment, data integration, and pipeline development.
- Strong experience in using ETL framework (e.g. Airflow, Oozie, Jenkins, etc.) to build and deploy production-quality ETL pipelines.
- Experience in ingesting and transforming structured and unstructured data from internal and third-party sources into dimensional models.
- Strong understanding of distributed storage and compute (Hive and Spark).
- Experience in building stream processing jobs on Apache Spark or similar streaming analytics technology.
- Understanding of basics of machine learning would be an added advantage.
- Understanding software industry trends and relevant innovations in software delivery methods.
- Ability to continually identify team improvements (retrospective analysis, maturity assessments, and OKRs and KPIs).
- Strong sense of urgency, learning appetite, and commitment.
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