Data Solutions Architect

1 month ago

Chennai, India Dexian India Full time
Location - Chennai (Onsite working model)
We are seeking an experienced Data Solutions Architect skilled in presales and hands-on implementation, with a strong focus on data architecture, data warehousing, data analytics, and data modeling.
Key Responsibilities :
Presales and Solutioning :
Collaborate with the sales team to engage with prospective clients, understand requirements, and craft tailored solutions.
Lead technical discussions, showcase data solutions, and deliver compelling presentations to stakeholders.
Develop and present proof-of-concept (POC) solutions to demonstrate value and feasibility.
Create technical documentation and support responses for RFIs/RFPs.
Data Architecture and Modeling :
Design, implement, and maintain robust data architectures, including data lakes, data warehouses, and data pipelines.
Develop and maintain data models that are scalable and optimized for analytics.
Define best practices and standards for data architecture, including governance, security, and compliance.
Data Warehousing and Analytics :
Develop ETL/ELT processes, ensuring efficient data integration and warehousing solutions.
Enable advanced analytics through data preparation, transformation, and curation.
Collaborate with analytics teams to design and implement BI and reporting solutions to support business intelligence initiatives.
Implementation and Support :
Provide hands-on implementation for data architecture solutions, working with internal teams and clients.
Troubleshoot and resolve data architecture issues, ensuring optimal performance and security.
Stay current with evolving trends in data architecture, analytics, and data engineering to continuously improve solutions.
.
Qualifications :
Education : Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field.
Experience : 8+ years in data architecture, data warehousing, data modeling, and analytics, with proven presales experience.
Certifications (highly preferred): Relevant certifications such as:
Certified Data Management Professional (CDMP)
Google Cloud Professional Data Engineer
AWS Certified Big Data – Specialty
Microsoft Certified: Azure Data Engineer
TOGAF (The Open Group Architecture Framework)
Certified Data Architect by DAMA International
Skills and Competencies :
Proficiency in data warehousing solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse).
Strong experience with data modeling tools and techniques (e.g., ERwin, DBT).
Expertise in ETL/ELT processes and data pipeline design using tools such as Apache Airflow, Informatica, Talend.
Strong SQL and Python skills for data transformation and manipulation.
Familiarity with business intelligence tools (e.g., Tableau, Power BI).
Excellent communication, presentation, and stakeholder management skills.

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