Cloud Data Lead/Architect

1 week ago

Anywhere in IndiaMultiple Locations INUMELLAS CONSULTANCY SERVICES PRIVATE LIMITED Full time

Job Description :


As a Cloud Data Lead, he/she will oversee the design, implementation, and management of cloud-based data solutions. He/she will lead a team of data engineers and collaborate with stakeholders to ensure data is managed efficiently, securely, and is accessible for business intelligence and analytics.


His/her expertise in cloud platforms, data architecture, and leadership will drive the success of our data initiatives and support data-driven decision-making across the organization. Proven experience as a Data Architect, Data Engineer, or similar role with a strong understanding of end-to-end data architecture.

Key Responsibilities :

Design and Strategy :


- Develop and implement data architecture strategies that align with business goals.

- Design scalable and efficient data models and frameworks.

Data Integration :


- Oversee the integration of data from various sources, including internal systems and external partners, ensuring seamless data flow and accessibility.

Data Management :


- Implement best practices for data governance, quality, and security.

- Develop and enforce data management policies and standards.

Analytics Support :


- Collaborate with data analysts and data scientists to support their needs, including providing data access and optimizing data pipelines for analysis.

Technology Selection :


- Evaluate and recommend data technologies, tools, and platforms to enhance data management and analytics capabilities.

Collaboration :


- Work closely with cross-functional teams including IT, business stakeholders, and data engineers to ensure data architecture meets organizational needs.

Team Leadership :


- Lead and coordinate cross-functional project teams.

- Assign tasks, set clear expectations, and ensure effective communication among team members.

Performance Optimization :


- Monitor and optimize data systems for performance, scalability, and reliability.

- Address and resolve data-related issues and bottlenecks.

Documentation :


- Create and maintain comprehensive documentation of data architecture, including data flows, data models, and technical specifications.

Technical Skills :

Cloud Data :

- In-depth knowledge of AWS services (IAM, Redshift, Step Functions)

- Proficiency in infrastructure as code (IaC) tools (like CloudFormation Stack)

- Knowledge of database technologies (SQL, NoSQL)

- Experience with data processing and analysis tools (AWS Glue, EMR)

Big Data Technologies :

Big Data Frameworks :


- Strong experience of Hadoop, Spark, or other big data processing frameworks.

ETL (Extract, Transform, Load) Processes :

ETL Tools :


- Experience with tools like IBM DataStage, ODI, Informatica, Talend, Microsoft SQL Server Integration Services (SSIS), Apache Nifi.

Data Transformation :


- Skills in data cleansing, aggregation, and enrichment.

Data Warehousing Architecture :

Architecture Design :


- Understanding of data warehouse architecture, including staging, data integration, and presentation layers.

- Collaboration and Communication Tools

Collaboration Tools :


- Familiarity with tools like JIRA, Confluence for project management and team collaboration.

Interpersonal skills :

- Excellent communication and collaboration skills.

- Ability as part of a team.

- Strong problem-solving and analytical skills.

- Must have worked with US customers and should have provided at least 3-4 hours overlap with Pacific Time (PT)

Bonus points :

- Certifications in cloud platforms

Experience and Job location :

- Experience should be between 10 to 15 years.

Location : Bangalore

(ref:hirist.tech)

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