Director - Data Engineering
- Blend360 India
- 12 - 18 years
- Hyderabad
- 28 days ago
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Job Description
What is Blend
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.
What is the Role
We are seeking a strategic Director of Data & AI Engineering to lead the growth and evolution of our data engineering function. This role will play a pivotal part in designing scalable platforms, enabling advanced AI and ML applications, and building a world-class engineering team. The ideal candidate is both a seasoned technical leader and a visionary strategist who thrives at the intersection of innovation, execution, and impact. You will collaborate with internal and client teams to develop systems and infrastructure that power intelligent products and data-driven decision-making. You will also build and mentor a high-performing team of Data and AI Engineers, foster a modern data culture, and champion best practices for scalable architecture, AI integration, and engineering excellence
Solution Design & Engineering Leadership
- Architect and build scalable, high-performance data and AI pipelines using tools such as Spark, PySpark, SQL, Python, DBT, Airflow, and cloud-native platforms (AWS, GCP, or Azure).
- Lead the design of hybrid/on-prem data platforms, incorporating security, governance, and performance optimization.
Strategic Client & Stakeholder Engagement
- Serve as a trusted technical advisor to internal and external stakeholders.
- Translate complex business needs into practical engineering solutions and oversee the end-to-end delivery lifecycle.
AI-Driven Productivity & Innovation
- Introduce and scale AI-driven tools and practices to accelerate development and enhance data quality, resilience, and maintainability.
- Champion the adoption of generative AI and foundation models to enable intelligent automation and insight generation.
Growth & Team Leadership
- Build, lead, and inspire a diverse team of Data Engineers, ML Engineers, and AI Specialists.
- Set a clear vision and goals, provide mentorship, and cultivate a strong engineering culture and standards.
Platform and Data Strategy
- Lead initiatives to modernize data infrastructure, improve data discoverability, and support real-time analytics and experimentation.
- Collaborate cross-functionally to shape product data strategies and influence the overall AI roadmap.
Presales & Business Development Support
- Partner with sales and solution teams to craft compelling proposals, technical solutions, and client presentations.
- Represent the engineering function in client discussions, workshops, and RFP responses to articulate value and differentiation.
- Support opportunity scoping, estimation, and roadmap planning for prospective engagements.
What do we need from you?
- 10+ years of experience in data engineering, AI/ML engineering, or product/platform engineering.
- Proven track record of leading high-performing teams and managing senior engineers and managers.
- Bachelors or master's degree in computer science, Engineering, or a related field.
- Extensive experience with big data technologies and modern cloud ecosystems.
- Strong knowledge of AI/ML methods and their real-world applications.
- Experience in social media, content platforms, or high-scale product companies (e.g., Meta, LinkedIn, Google).
- 5+ years managing large teams (20+ engineers and managers).
- Demonstrated success in growing a data platform from 01 or scaling through significant growth phases.
- Exposure to Generative AI, LLMs, embeddings, recommender systems, or real-time personalization.
- Experience supporting presales, technical solutioning, and client-facing engineering roles.
What do you get in return?
- Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table.
- Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
- Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
- Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
- Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
- Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
- Fuel Your Growth Journey with Certifications: Were all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Practice Manager / HeadEmployement Type: Full timeContact Details:
Company: Blend360 IndiaLocation(s): Hyderabad
Keyskills: Hadoop Big Data Architectural Design Spark Python Leadership GCP Microsoft Azure People Management Skills AWS Stakeholder Management
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BLEND360 is an award-winning, new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500/1000 clients and other organizations. We are a hyper growth company - born at the intersection of advanced analytics, data and technology. ...
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