Data Engineering Leadership Role
2 days ago
Job Title: Data Engineering Leadership Role
About the Company:
Techs to Suit Inc is a renowned mid-sized IT company based in Bangalore, with a strong presence in the industry. We are committed to delivering high-quality solutions that meet our clients' needs.
Job Description:
We are seeking an experienced Associate Director / Principal Architect Data Engineering to join our team. As a key member of our leadership team, you will be responsible for driving the development and implementation of our data engineering strategies. Your expertise in multi-cloud environments, data warehousing, and solution architecture will enable us to deliver innovative solutions to our clients.
Key Responsibilities:
- Develop and implement data engineering strategies that align with our business goals
- Leverage your expertise in multi-cloud environments to design and implement scalable data architectures
- Collaborate with cross-functional teams to ensure seamless delivery of projects
- Provide technical leadership and mentorship to junior team members
- Stay up-to-date with industry trends and emerging technologies to drive innovation
Requirements:
- 13 years of experience in solution architecture, estimation, and capacity planning for long-term data transformation initiatives
- Minimum 8 years of development and implementation of enterprise-level data solutions
- Expertise in providing estimates based on abstract RFx requirements
- Experience in Solution Architect design with Big Data, Cloud Technologies, Data Lake, Data Warehousing on cloud, Visualization, and Analytics
- Partner with sales teams to conduct business and technical discovery with customers
- Balance of business and technology acumen, including ability to articulate high-level technical solutions to business problems
- Excellent customer-facing skills with experience presenting to senior executives
What We Offer:
- Competitive salary: ₹ 65,00,000 per annum
- Opportunity to work with a renowned mid-sized IT company
- Chance to develop and implement innovative data engineering strategies
- Collaborative and dynamic work environment
- Ongoing training and professional development opportunities
Language: English
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