Data Solutions Architect Lead

3 weeks ago


Bengaluru, Karnataka, India AlphaMetricx Full time

AlphaMetricx is seeking an experienced Data Solutions Architect Lead to join our team.

Job Description

We are looking for a highly skilled professional with expertise in data solutions and analytics. As a Data Solutions Architect Lead, you will be responsible for designing and implementing integrated data solutions that drive business growth and revenue.

You will work closely with internal teams and clients to understand their business needs and develop tailored solutions using advanced analytics tools and techniques. Your strong technical knowledge and ability to communicate complex ideas effectively will enable you to present these solutions to clients and stakeholders.

Key Responsibilities:
  • Design and Implement Data Solutions: Develop and deploy data-driven solutions that meet the needs of Fortune 500 clients, leveraging expertise in big data, social media, and digital analytics.
  • Collaborate with Clients and Teams: Work closely with clients and internal teams to understand business requirements, design solutions, and deliver presentations to convert sales opportunities into projects.
  • Lead Pre-Sales Activities: Contribute to pre-sales activities, including solution design, estimation, and defending the solution architecture, ensuring successful project execution.
  • Develop Thought Leadership: Demonstrate strong thought leadership in concept formulation, suggesting appropriate statistical methodologies and models, evaluating multiple options, and recommending the final solution.
  • Maintain Industry Knowledge: Stay up-to-date with industry trends, best practices, and emerging technologies to ensure AlphaMetricx remains at the forefront of data solutions and analytics.

Skill Requirements

  • 10+ Years of Experience: Proven experience in creating unique data solutions for Fortune 500 brands in the US, with a strong understanding of online data aggregator tools and big data integration.
  • Advanced Analytics Tools: Strong knowledge of advanced analytics tools, including SAS, R, SQL, SPSS, Python, machine learning, and ETL.
  • Data Science Life Cycle: Understand the life cycle of data science, from data collection to scaled deployment, with expertise in data modeling, evaluation, and dashboard creation.
  • Business Acumen: Excellent communication and presentation skills, with the ability to engage with prospects, clients, and stakeholders, and provide holistic data solutions to Fortune 500 clients.

Salary Information

The estimated salary range for this position is $150,000-$200,000 per annum, depending on experience and qualifications.



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