Oneture Technologies
https://oneture.comAbout
Founded in 2016, Oneture is a cloud-first, full-service digital solutions company, helping clients harness the power of Digital Technologies and Data to drive transformations and turning ideas into business realities. Our team is full of curious, full-stack, innovative thought leaders who are dedicated to providing outstanding customer experiences and building authentic relationships.
We are compelled by our core values to drive transformational results from Ideas to Reality for clients across all company sizes, geographies, and industries. The Oneture team delivers full lifecycle solutions—from ideation, project inception, planning through deployment to ongoing support and maintenance. Our core competencies and technical expertise includes Cloud powered: Product Engineering, Bigdata and AI ML. Our deep commitment to value creation for our clients and partners and “Startups-like agility with Enterprises-like maturity” philosophy has helped us establish long-term relationships with our clients and enabled us to build and manage mission-critical platforms for them.
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Jobs at Oneture Technologies
Amazon Web Services (AWS)Role Type: Technical Leadership | Architecture | Client-Facing
Role Overview
We are seeking a Tech Lead – Data Platform who thinks platform-first, not tool-first. This role sits at the intersection of architecture, delivery, and business impact—owning the design of modern data platforms while guiding teams, influencing stakeholders, and shaping scalable, commercially viable solutions.
You will work closely with engineering teams, business leaders, and senior executives to translate data strategy into resilient, cost-effective, and future-ready platforms.
Key Responsibilities
Data Platform Leadership
- Design and lead modern data platforms leveraging lakehouse, streaming, and governance-first architectures
- Drive platform decisions with a focus on scalability, reliability, security, and cost optimization
- Ensure data platforms are built for analytics, operational use cases, and AI readiness
Solution Architecture & Pre-Sales
- Partner with sales and leadership teams during pre-sales, discovery, and solution shaping
- Whiteboard architectures, qualify opportunities, and recommend right-fit platform approaches
- Convert ambiguous business problems into structured technical solutions and delivery plans
Business Value & Commercial Impact
- Translate platform capabilities into clear business outcomes—revenue growth, operational efficiency, risk reduction, and ROI
- Support land-and-expand strategies, helping grow initial engagements into multi-phase programs
- Balance technical ambition with commercial pragmatism
Cloud & Technology Expertise
- Architect solutions across AWS, Azure, or GCP data ecosystems
- Make informed trade-offs around storage, compute, streaming, orchestration, and governance tooling
- Maintain strong cost-awareness and scaling discipline in platform design
Platform & Practice Building
- Create reference architectures, accelerators, and reusable assets to improve delivery velocity
- Contribute to internal best practices, standards, and technical playbooks
- Support the evolution of data platform offerings and service lines
Executive & Stakeholder Engagement
- Act as a credible technology partner to CIOs, CDOs, and CTOs
- Communicate complex technical concepts clearly to non-technical stakeholders
- Operate confidently in regulated environments (financial services, healthcare, etc.)
Technical Leadership & Mentorship
- Stay hands-on enough to review designs, challenge assumptions, and guide implementation
- Mentor engineers and senior developers; influence hiring and upskilling decisions
- Foster a culture of quality, ownership, and continuous learning
GenAI & Emerging Tech
- Understand and position GenAI and AI/ML as outcomes enabled by strong data platforms
- Avoid AI-first hype; ensure foundational data readiness before advanced use cases
Required Skills & Experience
- 5–9 years of experience in data engineering, data platform architecture, or analytics platforms
- Strong understanding of lakehouse, streaming, metadata, governance, and data security concepts
- Hands-on experience with cloud data stacks on AWS
- Experience working with stakeholders across engineering, business, and leadership
- Exposure to client-facing roles, consulting, or solution design is a strong plus
- Ability to balance technical depth with business and commercial thinking
What We’re Looking For
- Platform thinker, not a tool specialist
- Comfortable with ambiguity and ownership
- Strong communicator with executive presence
- Builder mindset with long-term vision
- Pragmatic, outcome-driven, and commercially aware
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