Data Architect
4 weeks ago
Position Title - Data Architect / Solution Architect
Location: Pan India
Role Purpose & Environment
Key Responsibilities
- Define and design the overall data architecture, strategy, and data capabilities roadmap that are consistent with our technology direction.
- Define and design the data platforms, tools and governing process
- Create, maintain and communicate go-forward strategies for business intelligence capabilities and tools.
- Responsible and accountable for producing the data solution and data product architecture design ensuring that they are submitted and progress via the prescribed governance process through to approval (ARB) in a timely manner aligned with project prescribed timelines.
- Define and review data solutions for re-usability, scalability, synergy opportunities and alignment to defined best practice and guidelines
- Create and evolve data technology roadmap, to align with continuously evolving business needs.
- Help defining and improving best practices, guidelines, and integration with other enterprise solutions.
- Participates in planning, dependency identification, and management as well as estimation with Project Managers.
- Leads Work Breakdown identification and workshops utilising Architecture designs as input
- Demonstrated grasp of Architecture techniques and ability to work effectively with senior business stakeholders and initiative owners.
- Act as Technology advisors on data to business leaders and strategic leaders on technology direction.
Key Experience, Skills, and Qualifications
Domain Expertise
- 7 years+ of professional experience in data architecture or data engineering role. Demonstrating a high degree of proficiency in designing and developing complex, high quality data solutions according to our architecture governance policies guidelines.
- Strong experience in developing and maintaining data warehouses (e.g., Redshift, Teradata)
- Able to work independently and develop the solution architecture according to the business requirements and compliance requirements.
- Strong Data warehouse development experience using different ETL tools (e.g. SAS DI, Glue, DBT)
- Experience with data streaming platforms (e.g., Kafka/Kinesis)
- Familiarity with different operational orchestration platforms (e.g., Airflow, LSF scheduler etc)
- Experience with data catalogue and data governance tools.
- Understanding of CLDM, Star Schema, Data Mesh and Data Product concepts
- Exposure to machine learning, reporting, data sharing, data intensive application-oriented use cases
- Extensive experience in consulting with business stakeholders and other user groups to deliver both strategic and tactical information management solution.
- Experience working within matrix structures, with demonstrated ability to broker outcomes effectively and collaboratively with colleagues and peers.
- Experience on different delivery methodologies (e.g., Waterfall, Agile)
- Telecommunication Industry experience
- Bachelor's degree in computer science, computer programming or related field preferred
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