Manager, Software Engineering - Operational Data Lake at Anaplan Inc Canada

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Spark, Databricks, REST Services, AWS, GCP, Azure, Data Architecture, Data Modeling, Microservices Design, DevOps, CI/CD, Containerization, Infrastructure as Code, Terraform, Agile/Scrum

Industry

Software Development

Description

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! Engineering Manager About the Role We are seeking an experienced Engineering Manager to join the leadership of our ODL (Operational Data Lake) team. As one of several leaders on the team, you will be responsible for managing a high-performing team of data engineers, driving technical excellence, and contributing to architectural decisions and technology strategy. This role is focused on delivering scalable data solutions using modern data engineering technologies and cloud platforms. Key Responsibilities Lead and manage a team of ODL Software Engineers and Senior ODL Software Engineers. Drive technical strategy and architectural decisions for scalable data pipelines, services, and infrastructure. Champion data engineering best practices, including code reviews, test development, and automated deployment processes. Build, mentor, and grow a high-performing data engineering team through coaching and career development. Collaborate with data science, analytics, and BI teams to translate business requirements into technical solutions. Oversee the full development lifecycle for data systems, from planning and design to deployment and maintenance. Establish and monitor engineering KPIs, including data quality, pipeline performance, and team velocity. Drive continuous improvement in data engineering processes, tools, and methodologies. Manage technical debt and ensure the long-term health and scalability of our data platforms. Foster a culture of curiosity, accountability, and technical excellence within the team. Provide regular reporting on team performance and project status to executive leadership. Required Qualifications 7+ years of software or data engineering experience, with at least 3+ years in an engineering management role. Strong hands-on experience with Python and distributed data processing frameworks like Spark/Databricks. Proven experience with designing and building scalable REST services. Extensive experience with cloud platforms, particularly AWS, GCP, or Azure. Demonstrated success building and managing high-performance engineering teams. Strong understanding of data architecture patterns, data modeling, and microservices design. Experience with DevOps practices, including CI/CD pipelines, containerization, and infrastructure as code, preferably with Terraform. Excellent technical problem-solving and system design skills. Strong leadership abilities with experience in team building, mentoring, and performance management. Experience with Agile/Scrum methodologies and modern development practices. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Qualifications Deep experience with containerization technologies (Docker, Kubernetes). Experience implementing modern observabilitystacks (e.g., Prometheus, Grafana, ELK). Knowledge of data warehousing, database design, and optimization (SQL and NoSQL). Experience with BI and data visualization tools. Experience scaling engineering teams in fast-growing organizations. Knowledge of data security best practices and compliance requirements. Advanced degree in Computer Science or a related field. What We Offer Competitive salary and comprehensive benefits package. Opportunity to shape data engineering culture and technical direction. Professional development budget and conference attendance opportunities. Flexible work arrangements with remote work options. Collaborative environment with cutting-edge technologies and tools. Stock options and performance-based bonuses. Health, dental, and vision insurance. Generous PTO and parental leave policies. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.

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Responsibilities

The manager will lead and manage a team of Operational Data Lake (ODL) Software Engineers, driving technical strategy and architectural decisions for scalable data pipelines and infrastructure. This role involves championing data engineering best practices, overseeing the full development lifecycle, and collaborating with cross-functional teams to deliver technical solutions.