Senior Data Solutions Architect

17 hours ago

Kurnool, Andhra Pradesh, India beBeeData Full time ₹ 20,00,000 - ₹ 30,00,000
Lead Data Solutions Architect

As a Lead Data Solutions Architect, you will oversee the design and implementation of scalable data architectures to meet business needs.

The ideal candidate will support the development of advanced data models, standardized data governance policies, and robust data delivery pipelines. They will lead cross-functional teams to develop innovative data solutions that drive business value and improve operational efficiency.

Key Responsibilities:

  • Develop and implement end-to-end data pipelines to integrate diverse data sources and deliver actionable insights to stakeholders.
  • Collaborate with business stakeholders to understand requirements and develop tailored data solutions that meet their needs.
  • Work closely with the team to design and implement data quality metrics, data validation, and data normalization techniques.
  • Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
  • Escalate dependencies and challenges (risks) to the Sponsor and/or Head of Data Engineering.
  • Ensure timelines (milestones, decisions, and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
  • Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.
  • Ensure final handover of initiative to business-as-usual processes, carry out a post-implementation review (as necessary) to ensure initiative objectives have been delivered, and any lessons learned are fed into future initiative management processes.

Requirements:

  • Excellent problem analysis skills.
  • Good understanding of big data technologies including Hadoop, Spark, NoSQL databases, and cloud-based infrastructure.
  • Experience with data processing frameworks such as Apache Beam, Apache Flink, or Apache Storm.
  • Knowledge of data warehousing and ETL tools such as Informatica PowerCenter or Talend.
  • Experience with data visualization tools like Tableau, Power BI, or D3.js.
  • Strong understanding of data security, privacy, and compliance regulations.
  • Ability to debug, fine-tune, and optimize large-scale data processing jobs.
  • Basic knowledge of scripting languages such as Python, Java, or Scala.

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