Data Engineering Leadership Position

3 weeks ago


Bengaluru, Karnataka, India Q2 Full time

At Q2, we are seeking a highly skilled Data Engineering Leadership Position to join our team. As a Technical Director - Data Solutions, you will be responsible for designing, developing, and maintaining scalable data solutions that enable our company to extract insights, make data-driven decisions, and deliver exceptional value to our customers.

Key Responsibilities:

Leadership:

  • Provide leadership, guidance, and mentorship to a team of data engineers.
  • Foster a collaborative and inclusive team culture that encourages innovation, learning, and growth.
  • Set clear goals, expectations, and priorities for the team, and ensure alignment with company objectives.
  • Conduct regular performance reviews, provide constructive feedback, and support career development opportunities for team members.

Technical Strategy:

  • Collaborate with cross-functional teams to define data engineering requirements and priorities.
  • Develop and execute a strategic roadmap for data engineering initiatives, aligning with business objectives and technological advancements.
  • Stay abreast of emerging technologies, industry trends, and best practices in data engineering, and evaluate their potential impact on our business.

Architecture and Design:

  • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions.
  • Ensure adherence to data governance, security, and compliance standards throughout the development lifecycle.
  • Lead the implementation of data engineering solutions, leveraging modern technologies and tools such as cloud platforms, big data frameworks, and containerization.

Collaboration:

  • Collaborate closely with product managers, business stakeholders, and other engineering teams to define requirements, prioritize initiatives, and deliver high-quality solutions.
  • Communicate project status, risks, and dependencies effectively to stakeholders, and proactively identify and mitigate potential obstacles.

Requirements:

  • Typically requires a Bachelor's degree in a relevant field and a minimum of 6 years of related experience; or an advanced degree with 4+ years of experience.
  • Typically requires 1-2 years managing and developing employees.
  • Proven experience of 12 years in a data engineering role, with a strong track record of designing and implementing complex data solutions.
  • Proficiency in programming languages such as Python, Java, or Go as well as experience with SQL and data modeling.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and proficiency in related services (e.g., S3, EMR, BigQuery).
  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders effectively.

Benefits:

  • Hybrid work opportunities
  • Flexible time off
  • Career development & mentoring programs
  • Health & wellness benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
  • Community volunteering & company philanthropy programs
  • Employee peer recognition programs – "You Earned it"

At Q2, we are committed to making a positive impact in the communities we serve. We believe in the importance of giving back and are proud to support a variety of organizations that align with our values.



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