2+ Data architecture Jobs in Hyderabad | Data architecture Job openings in Hyderabad

Mandatory Skills- Data Engineer, client Engagement, Project Management, Project Delivery, Team Leadership, Data Governance, Quality Assurance, Business Development, Data Architecture

Additional Skills- Communication Skills, Problem Solving Skills

Job Description

This position requires someone with good problem solving, business understanding and client presence. Overall professional experience of the candidate should be above 8 years. A minimum of 5 years of experience in leading and managing a client portfolio in Data Engineering space. Should have good understanding of business operations, challenges faced, and business technology used across business functions. 

The candidate must understand the usage of traditional and modern data Engineering technologies/tools for solving business problems and help clients in their data journey. The candidate must have knowledge of emerging technologies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams.

Candidate should be comfortable with taking leadership roles, in client projects, pre-sales/consulting, solutioning, business development conversations, execution on data engineering projects. 

Key Responsibilities:

Client Engagement & Relationship Management:

• Serve as the primary point of contact for clients on data engineering projects, understanding their needs, challenges, and goals.
• Develop and maintain strong client relationships, ensuring high levels of client satisfaction and repeat business.
• Translate client requirements into actionable technical solutions and project plans.

 Project Management & Delivery:

• Oversee the delivery of data engineering projects from inception to completion, ensuring projects are delivered on time, within scope, and within budget.
• Manage project resources, timelines, and risks, ensuring smooth project execution and delivery.
• Collaborate with cross-functional teams including data scientists, business analysts, and IT professionals to deliver comprehensive data solutions.

 Technical Leadership & Innovation:

• Lead the design, development, and deployment of scalable data architectures, pipelines, and processes tailored to client needs.
• Stay abreast of industry trends, technologies, and best practices, and implement them in client projects to drive innovation and competitive advantage.
• Provide technical oversight and guidance to the data engineering team, ensuring the adoption of best practices and high-quality output.

 Team Leadership & Development:

• Lead, mentor, and manage a team of data engineers, fostering a collaborative and high-performance culture.
• Provide professional development opportunities, coaching, and career growth support to team members.
• Ensure the team is equipped with the necessary skills and tools to deliver high-quality consulting services.

 Data Governance & Quality Assurance:

• Implement and oversee data governance frameworks, ensuring data integrity, security, and compliance across all client projects.
• Establish and enforce data quality standards, ensuring the reliability and accuracy of data used in client solutions.
• Business Development & Consulting:
• Support business development efforts by contributing to proposals, presenting solutions to prospective clients, and identifying opportunities for expanding client engagements.
• Provide thought leadership in data engineering, contributing to white papers, webinars, and conferences to enhance the company’s reputation in the industry.

 Experience candidates should bring

• 8 to 12 years of data engineering experience with at least 3 years in a managerial role within a consulting or professional services environment.
• Proven experience in managing multiple, complex data engineering projects simultaneously.
• Experience in leading a team of 8 to 12 professionals.
• Strong problem-solving skills and the ability to handle complex, ambiguous situations.
• Exceptional project management skills, with experience in Agile methodologies.
• A client-service mindset and a desire to take on tough and challenging projects
• Effective communication skills, both written and verbal
• Ability to work effectively across functions and levels; comfort collaborating with teammates in a virtual environment.

Required Qualification

Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.) 

Enterprise Data Architect - Dataeconomy (25+ Years Experience)

About Dataeconomy:

Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.

Job Summary:

Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.

Responsibilities:

Strategic Vision and Leadership:

Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.

Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.

Advise senior leadership on strategic data initiatives and their impact on business performance.

Architecture and Modernization:

Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.

Design and implement a scalable data lake/warehouse architecture for future growth.

Advocate for and adopt cutting-edge data technologies and best practices.

ETL Tool Experience (8+ years):

Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.

Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.

Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.

Data Governance and Quality:

Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.

Develop and implement data quality standards and processes for continuous data improvement.

Oversee the implementation of master data management and data lineage initiatives.

Collaboration and Mentorship:

Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.

Foster a collaborative environment where data insights are readily shared and acted upon across the organization.

Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.

Qualifications:

Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.

Experience: 25+ years of experience in data architecture and design, with 10+ years in a leadership role.

Technical Skills:

Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.

Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.

Extensive expertise in ETL tools (Informatica PowerCenter, IBM DataStage, Microsoft SSIS, Apache Airflow)

Familiarity with emerging data technologies (AI/ML, blockchain), data security and compliance frameworks.

Soft Skills:

Outstanding communication, collaboration, and leadership skills.

Strategic thinking and problem-solving abilities with a focus on delivering impactful solutions.

Strong analytical and critical thinking skills.

Ability to influence and inspire teams to achieve goals.