Remote Engineering Team Lead - Data

Description:

• We are seeking an experienced Data Team Technical Lead/Manager to spearhead our data initiatives and drive the development of robust analytics solutions for our customers.
• This role is key in shaping our data strategy, ensuring efficient delivery of data and analytics capabilities, and fostering a high-performing team culture.
• The ideal candidate will combine technical expertise with leadership skills to guide the team in collecting and leveraging data to deliver actionable insights internally and for our customers.
• The position is fully remote, and candidates must be eligible to work in the United States for any employer.
• The base salary range for this position is $145,000 - $155,000, with compensation varying based on qualifications, skills, and experience.

Requirements:

• Provide technical and people leadership and direction for the data team, setting goals, defining technical approaches, architecture, planning, and executing work following Agile practices.
• Partner closely with product management, application, SRE, and security teams to build consensus on needed capabilities, designs, APIs, infrastructure, and ensure security and privacy of data.
• Oversee the architecture and implementation of data pipelines, structured and unstructured storage, data transformation, data warehouses, analytics solutions, and data APIs.
• Ensure the delivery of high-quality, timely, and accurate data solutions.
• Drive the adoption of best practices in data quality and security.
• Monitor emerging technologies and trends in data and analytics to recommend and implement innovative solutions.
• Manage project timelines, budgets, and resources to meet internal and customer commitments.
• Build and maintain strong relationships with internal stakeholders, external vendors, and customers.
• Recruit, develop, and retain strong talent for the data team, including employees and off-shore/near-shore partners.
• The ideal candidate will have a track record of successful career growth with increasing technical leadership responsibilities in data and analytics roles.
• Candidates should have 7+ years of experience in data engineering, with 2+ years in a lead role.
• A solid understanding of data lake, lakehouse, and warehouse data architectures is required.
• Deep hands-on expertise in AWS cloud architecture and data-related services is essential, including S3, EMR, Glue, Athena, Redshift, QuickSight, Kinesis, and others.
• Strong command of SQL, Python, and related Python libraries is necessary.
• Knowledge of data visualization tools and advanced analytics techniques is preferred.
• Proven experience in building and scaling reliable, secure, cost-efficient, and performant data and analytics solutions is required.
• Demonstrable experience with designing and implementing data quality processes is essential.
• Excellent leadership and communication skills are necessary to motivate and inspire teams.
• Strong analytical and problem-solving skills with a focus on data-driven decision-making are required.
• Candidates should be able to work collaboratively across diverse teams and prioritize effectively in a fast-paced environment.
• An understanding of data security, data privacy, and related regulatory requirements is necessary.
• Prior experience working in a global environment with offshore team members is preferred.
• Experience in education technology product development and learning analytics is strongly preferred.
• Recent experience with Machine Learning and Generative AI in data analytics use cases is strongly preferred.
• A Bachelor’s degree in computer science or a related engineering/technical discipline is required.

Benefits:

• Echo360 offers comprehensive benefits including medical, dental, vision, life & disability insurance.
• A 401(k) plan with company match is provided.
• An unlimited PTO policy is available to employees.
• Echo360 is committed to providing equal employment opportunities and does not discriminate based on race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity, or any other reason prohibited by law.