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based on 16 Reviews

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Data Architect

Firsthive

based on 16 Reviews

10-20 years

Bangalore / Bengaluru

1 vacancy

Data Architect

FirstHive

posted 3mon ago

Flexible timing

Key skills for the job

+ 4 more

10+ years of experience in data architecture, data engineering, or related roles, preferably in a product company.

Education: Bachelors degree in Computer Science, Engineering, or a related field; Masters degree preferred.

Key Responsibilities:

Deliver strong, scalable architecture, code in line with the product vision, timelines and quality standard.
Deliver key research (MVP, POC) with an efficient turn-around time to help make strong product decisions.
Demonstrate key understanding and expertise on modern technologies, architecture and design. Mentor the team to deliver modular, scalable and high-performance code.
Be a change agent on key innovation and research to keep the product, team at the cutting edge of technical and product innovation.
Demonstrate excellent interpersonal skills to drive discussions to decisions.
Mentor the team to deliver high quality and stay informed on latest technologies and trends in the industry.

Technical Skills & Expertise:

Strong expertise with RDBMS concepts, database design and deployment architectures.
Strong expertise in SQL Server database coding using TSQL, stored procedure and preferably NoSQL administration/development experience in MongoDB and Cassandra.
Hands on experience with performance testing, performance tuning complex database codes is required.
Hands on experience in writing ETL packages
Experience in delivering projects using AGILE methodologies is highly preferable.
Lead the data tier architecture and design processes, participate in system and application architecture.
Collaborate with development and business teams.
Be responsible for defining & meeting various SLAs for multiple database platforms used in the company.
Troubleshoot and address various issues in the systems.
Interpersonal & Digital Fluency
Passion for technology, challenges and quality with a dynamic, forward leaning and proactive personality.
Excellent interpersonal skills to drive meaningful value to collaboration with a strong belief in team and delivering together.
Strong commitment to ownership, responsibilities and cause of business and team by aligning with leadership and management.

Qualifications:

bachelors degree in Computer Science, Engineering, or a related field; masters degree preferred.
10+ years of experience in data architecture, data engineering, or related roles, preferably in a product company.
Expertise in designing and implementing data solutions using modern data technologies, such as relational databases, NoSQL databases, data warehouses, and big data platforms.
Proficiency in data modeling, data governance, and data integration techniques, with a strong understanding of data quality and data lineage concepts.
Hands-on experience with programming languages such as SQL, Python, or Java, as we'll as data processing frameworks such as Apache Spark or Apache Flink.
Experience with cloud-based data services and platforms, such as AWS, Google Cloud Platform, or Microsoft Azure.
Strong analytical and problem-solving skills, with the ability to analyze complex data sets, identify patterns and trends, and derive actionable insights.
Excellent communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders.
Certifications in data architecture or related fields (eg, Certified Data Management Professional [CDMP], AWS Certified Solutions Architect) are a plus

Employment Type: Full Time, Permanent

Functional Areas: Analytics & Business Intelligence

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