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Data Engineering Team Lead

1 month ago

Bengaluru, Karnataka, India Q2 Full time

About the Role

Q2 is seeking a highly skilled and experienced Data Engineering Team Lead to oversee the development and maintenance of scalable data solutions. This key position plays a crucial role in enabling the company to extract insights, make data-driven decisions, and deliver exceptional value to customers. The ideal candidate will have a strong background in data engineering, leadership experience, and a passion for driving technical excellence.

Key Responsibilities

  • 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, ensuring 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 the 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.

Experience and Knowledge

  • 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 of 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.
  • Experience with several of the technologies we currently use: Cloud Providers: AWS, Azure; Data Pipelines: Apache Airflow, dbt; Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker; Databases: Snowflake, SQL Server, PostgreSQL; Containerization: Kubernetes, Docker; Languages: Python, C#, Go, Bash, SQL; CI/CD: GitLab, Azure DevOps; SCM: Git, GitHub, GitLab.

What We Offer

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

Learn more about our benefits.

How We Give Back to the Community

You can learn more about our Q2 Spark Program, Q2 Philanthropy fund, and employee volunteering programs on our website. Q2 supports dozens of wide-reaching organizations, such as the Boys and Girls Clubs of America, the National LGBTQ Task Force, and the Disabled American Veterans.