Director Data Engineering - India Remote

India, Remote

Arm Treasure Data

Capture, analyze and act on all of your customer data across every channel and every department. For all of your brands, all around the world.

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We are seeking a Director, Data Engineering to join our growing Professional Services team. The Professional Services team has two areas of focus – Implementation Services and Strategic Consulting.
Who We Look ForAt its core, this role is about three things – leading our Data Engineering function and helping it scale; growing the Data Engineering team by hiring the best; leading the team to build scalable and repeatable frameworks that can be used in our implementations. Our customers come to us to solve their problems. Your mission is to lead your team to work with them and internal teams at Treasure Data to find these answers by demonstrating the full capabilities of our leading Customer Data Platform.
Our customers’ problems are varied: some are trying to reach their customers in a new way. Some are trying to develop a new market segment. Some are trying to evolve their go-to-market in a ground-breaking manner and enlisted our product as a key piece of the puzzle. Oftentimes, it’s all of the above at the same time. If you love working with multiple teams, driving a project to completion, and delighting customers while constantly learning about new domains, this is the role for you.
Things you will do-Lead a team, primarily based out of India and Vietnam, that is responsible for building data orchestration pipelines for our customers during implementation.-Continue to build a team of passionate individuals that is the backbone of our implementations.-Mentor and lead the team of Data Engineers, guide the members of the team to make the right decisions and participate in brainstorming sessions along with the team.-Set goals and targets for the team and enable the members to meet their objectives.-You will also be responsible for leading some engagements from start to finish, especially for our marquee customers.-Participate in project initiation, requirements gathering, solution design as well as training and initial production support.-Provide guidance during the customer’s development and adoption lifecycle (implementation, onboarding and adoption).-Partner with customers’ senior decision-makers and project sponsors (VPs, SVPs, CXO) in understanding their business goals and use cases.-Partner with customers in determining the best solutions and team with internal teams on up-sell/cross-sell opportunities.-Provide thought leadership and guidance while ensuring that the engagements align with our Best Practices and Implementation methodologies.-Be the authority in all things Treasure Data and work with the customer as well as internal teams in driving the design of a scalable solution-Up to 25% travel may be required as part of this job
Your background and skills will include-8+ years of team management and team development experience; comfortable leading teams in a matrix organization.-12+ years of project/account management experience working with distributed teams.-Proven project leadership experience implementing multi-million-dollar SaaS implementations or enterprise ERP / CRM projects.-Prior experience with requirements gathering, scope definition, leading product and strategy workshops, change management, and adoption-An analytical and strategic approach to understanding how to convert customer’s objectives and business goals into concrete use cases and a tangible project plan-Time management skills with the ability to effectively lead and prioritize multiple competing projects at the same time-Superb communication (oral/written/presentation) skills; able to communicate and set expectations at various levels within the customer’s organization-Ability to partner with customers and build strong relationships while influencing collaborative decision making-Prior experience with consultative and solution-based selling of cloud-based or SaaS products-Motivated self-starter who is with an appetite for winning.-B.S. or B.A. or higher in Computer Science, Math, Economics, or related field
We would be thrilled if you-Have a good understanding of digital marketing and marketing technologies-Have consulting experience at Big 4 consulting firms-Have experience working with big data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB etc.)-Have some level of understanding or experience in AI and ML concepts
What You GetCompetitive salary and benefits: we seek the best talent for this role as you are the enduring face of our company for our most strategic customers.Unique access: You will have the opportunity to engage deeply in a complex enterprise business & technology challenge with the full backing of our Product & Engineering organizations. For the entrepreneurially-minded, this is a hugely valuable experience.Innovation: Our business is at the frontier of enterprise technology adoption. You have an opportunity to learn about a whole suite of technology that is changing how the world’s largest institutions run their core businesses.What We ValueHumility: Know what you do not know, be candid about it, and seek help and guidance -- both from customers and colleagues.Gumption: Some call it “distance traveled”, i.e., how far you have come in your life overcoming obstacles, putting in sustained effort, defying the odds. We love optimistic doers.High cognitive skills & adaptive learning skills: We value people who can learn actively from the environment and constantly tweak their approach. Success comes from million of such tweaks.Technical breadth and depth: You will not program actively for this role. However, you do have to develop a deep technical understanding of our platform and adjacent products. A bachelor’s degree in technical fields such as Computer Science and Electrical Engineering is a plus, and a strong work experience in a technical role can be an (often better) substitute.  Who we are: Treasure Data employees are enthusiastic, data-driven and customer-obsessed. Our actions reflect our values of honesty, reliability, openness and humility. Treasure Data moved to remote-based work in March 2020 and is committed to ensuring it remains agile to accommodate shifting preferences of its workforce. While we are not working shoulder-to-shoulder, we still work side-by-side, finding unique ways to connect and create together while also respecting each other’s life priorities outside of work. We offer competitive salary and benefits and named one of the 2021 Best Places to Work. Treasure Data is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
What we do: Treasure Data is the only enterprise Customer Data Platform (CDP) that harmonizes an organization’s data, insights, and engagement technology stacks to drive relevant, real-time customer experiences throughout the entire customer journey. Treasure Data helps brands give millions of customers and prospects the feeling that each is the one and only. With its ability to create true, unified views of each individual, Treasure Data CDP is central for enterprises who want to know who is ready to buy, plus when and how to drive them to convert. Flexible, tech-agnostic and infinitely scalable, Treasure Data provides fast time to value even in the most complex environments.
Agencies and Recruiters: We cannot consider your candidate(s) without a contract in place. Any resumes received without having an active agreement will be considered gratis referrals to us. Thank you for your understanding and cooperation!

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Big Data Cassandra Computer Science Consulting Economics Engineering Hadoop Machine Learning MongoDB Pipelines

Perks/benefits: Career development Competitive pay Flex hours Startup environment

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  5  0  0

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