Chief Data Engineering Strategist
1 week ago
About Us
At DecisionTree Analytics & Services, we empower businesses with data-driven insights to make informed strategic decisions.
We are seeking an experienced Chief Data Engineering Strategist to lead our team in designing and implementing leading-edge solutions that meet our clients' evolving needs.
About the Role
This is a key leadership position responsible for maintaining an insightful understanding of the technology and industry trends in the Data Engineering and Business Intelligence landscape.
The successful candidate will drive the development strategy and solution offering portfolio, enabling us to best meet current and future client requirements and market opportunities.
- Main Responsibilities:
- Design, develop, and maintain the data warehouse and analytics architecture to meet business analysis and reporting needs.
- Primarily responsible for the successful delivery of client engagements and initiatives.
- Lead a team of BI and Analytics professionals.
- Provide subject matter expert input and advisory role input to client engagements as required – strategy and solution advisory, technical resource management, client workshop facilitation, and overall engagement management.
- Write stored procedures, functions, views, triggers for various database systems.
- Review and evaluate existing stored procedures for performance improvements.
- Ability to understand business needs and apply analytical concepts to generate actionable business insights.
- Collaborate and mentor the team of data analysts to provide development coverage, support, and knowledge sharing.
- Set goals and drive the roadmap for the business intelligence team.
- Stay up-to-date with industry trends and expand expertise outside comfort zones.
About You
We are looking for a seasoned professional with at least 10 years of experience in ETL and Data Warehousing.
Candidates should have hands-on experience in multiple ETL platforms like Talend, Alteryx, Informatica, and extensive knowledge of at least 2-3 data visualization tools like Tableau, Power BI, DOMO, Google Data Studio.
A strong background in databases like PostgreSQL, MySQL, MS SQL, and experience working with various data sources is essential.
Experience with big data storage and query engines like AWS Redshift, Big Query, and excellent analytical skills are also required.
Strong people management and project management skills, along with excellent verbal and written communication skills, are necessary for success in this role.
What We Offer
We offer a competitive compensation package, flexible work culture with 5 Days working, medical insurance, cult fit membership, free meals, company happy hours, and opportunities for growth and development.
Estimated Salary: $180,000 - $220,000 per year, depending on experience and location.
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