Sparktek
Requirement Summary / Job Brief
The Data Engineering Competency Lead is a senior leadership role responsible for driving excellence across the data engineering discipline. This individual will lead a team of talented data engineers, set strategic direction, ensure adoption of best practices, and build organizational capability to deliver secure, scalable, and high-impact data solutions. The role requires strong technical expertise, people leadership, and a passion for advancing data engineering standards across the organization.
ABOUT THE TEAM
You will be part of the Digital Engineering Services team at iOPEX which is a new-generation Digital Service Solution Provider, transforming the way businesses operate in a digitally connected world. We are looking for vibrant individuals who share the common values of Intrapreneurship, Customer Focus, Integrity, and Transparency, which we call as the "iOPEX Code".
ROLE & RESPONSIBILITIES
Provide technical leadership and guidance for the development of robust, automated data pipelines and management processes across the data engineering function. Set and execute the strategic vision for data engineering, aligning with business goals and continuously improving delivery and innovation. Lead the end-to-end data development lifecycle, including data ingestion, cleansing, validation, transformation, curation, and presentation. Oversee and optimize data architecture, ensuring data quality, security, and scalability. Mentor, coach, and develop data engineers, fostering a culture of learning, collaboration, and professional growth. Embed industry best practices and modern engineering techniques, driving adoption of agile and DevOps methodologies. Collaborate with cross-functional teams (data science, analytics, IT, business stakeholders) to deliver integrated data solutions and enable data-driven decision-making. SKILLS REQUIRED
10+ years' experience working on complex data projects including migrations, integrations, data architecture and data governance. Experienced technology leader with extensive Data Quality, Data Management, Data Security, Data Governance skills. Solid experience in Data Integration - ETL(Informatica, DataStage, Talend, AbInitio), Data Lakes such as Snowflake, Azure Data Lake etc , Data Warehouse, Databricks ,Cloud migrations. Data Governance - data quality and privacy, metadata management, data stewardship. Data Catalog - traceability, data dictionary & lineage. Master Data Management (MDM) - Reltio, Stibo, Riversand, etc. Unified Data Architecture for data fabric for agentic AI (WDF for ServiceNow, Mulesoft,Infa for Salesforce, Azure DF, Boomi, etc.) Business Intelligence, Analytics & Visualization - Qlik, Tableau, Cognos, Microstrategy, PowerBI, etc. Data Science - R, Python, Pi-spark, Data in Rest & Motion (Kafka, Confluent, etc). OUR INVESTMENT IN YOU World class enablement and on-demand training -
Proper onboarding on iOPEX service offerings and enable a structure learning curve. Exposure to executive thought leaders with a passion for living our values. Clear pathways for career advancement and opportunities for progression within the organization. Access to wide range of training programs, workshops to enhance your technical skills. COMPENSATION AND BENEFITS iOPEX compensation package for the role includes a Base Salary plus a Bonus component linked to performance.
Performance will be measured based on the KRAs and performance bonus will be processed every 6 months. Eligible for 12 Casual and 14 planned leaves post confirmation as per company policy. Comprehensive medical insurance covering the family. ABOUT IOPEX iOPEX is a new-generation Digital services provider offering AI Engineering and AI Operations services. We help businesses scale up operations and adapt to new demands while keeping costs in check. With deep domain expertise, data-driven strategies, and AI solutions, we help you unlock the true potential of your investment and set you up for a sustainable future.
We are a new-generation Digital Service Solution Provider, transforming the way businesses operate in a digitally connected world. At the core of our approach lies the synergy of human ingenuity and AI. By leveraging use-case- driven data infrastructure, fine-tuned AI models, and targeted innovation, we help enterprises overcome operational bottlenecks and deliver measurable outcomes with every step.
Our expertise lies in reengineering workflows, integrating intelligent systems, and building adaptive frameworks that align with evolving business needs. By turning complexity into clarity, we empower businesses to serve their customers better, make smarter decisions, and achieve sustained growth. We focus on execution that bridges innovation and practicality, ensuring every transformation leads to tangible and lasting results. Our AI-driven support beyond implementation includes a roadmap for continuous improvement, ensuring your business stays ready for evolving challenges and opportunities. No wonder we boast of a marquee list of Fortune 500 clients, and many more, each being 100% reference-able.
We are an equal opportunity employer committed to a diverse and inclusive workplace. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
The Data Engineering Competency Lead is a senior leadership role responsible for driving excellence across the data engineering discipline. This individual will lead a team of talented data engineers, set strategic direction, ensure adoption of best practices, and build organizational capability to deliver secure, scalable, and high-impact data solutions. The role requires strong technical expertise, people leadership, and a passion for advancing data engineering standards across the organization.
ABOUT THE TEAM
You will be part of the Digital Engineering Services team at iOPEX which is a new-generation Digital Service Solution Provider, transforming the way businesses operate in a digitally connected world. We are looking for vibrant individuals who share the common values of Intrapreneurship, Customer Focus, Integrity, and Transparency, which we call as the "iOPEX Code".
ROLE & RESPONSIBILITIES
Provide technical leadership and guidance for the development of robust, automated data pipelines and management processes across the data engineering function. Set and execute the strategic vision for data engineering, aligning with business goals and continuously improving delivery and innovation. Lead the end-to-end data development lifecycle, including data ingestion, cleansing, validation, transformation, curation, and presentation. Oversee and optimize data architecture, ensuring data quality, security, and scalability. Mentor, coach, and develop data engineers, fostering a culture of learning, collaboration, and professional growth. Embed industry best practices and modern engineering techniques, driving adoption of agile and DevOps methodologies. Collaborate with cross-functional teams (data science, analytics, IT, business stakeholders) to deliver integrated data solutions and enable data-driven decision-making. SKILLS REQUIRED
10+ years' experience working on complex data projects including migrations, integrations, data architecture and data governance. Experienced technology leader with extensive Data Quality, Data Management, Data Security, Data Governance skills. Solid experience in Data Integration - ETL(Informatica, DataStage, Talend, AbInitio), Data Lakes such as Snowflake, Azure Data Lake etc , Data Warehouse, Databricks ,Cloud migrations. Data Governance - data quality and privacy, metadata management, data stewardship. Data Catalog - traceability, data dictionary & lineage. Master Data Management (MDM) - Reltio, Stibo, Riversand, etc. Unified Data Architecture for data fabric for agentic AI (WDF for ServiceNow, Mulesoft,Infa for Salesforce, Azure DF, Boomi, etc.) Business Intelligence, Analytics & Visualization - Qlik, Tableau, Cognos, Microstrategy, PowerBI, etc. Data Science - R, Python, Pi-spark, Data in Rest & Motion (Kafka, Confluent, etc). OUR INVESTMENT IN YOU World class enablement and on-demand training -
Proper onboarding on iOPEX service offerings and enable a structure learning curve. Exposure to executive thought leaders with a passion for living our values. Clear pathways for career advancement and opportunities for progression within the organization. Access to wide range of training programs, workshops to enhance your technical skills. COMPENSATION AND BENEFITS iOPEX compensation package for the role includes a Base Salary plus a Bonus component linked to performance.
Performance will be measured based on the KRAs and performance bonus will be processed every 6 months. Eligible for 12 Casual and 14 planned leaves post confirmation as per company policy. Comprehensive medical insurance covering the family. ABOUT IOPEX iOPEX is a new-generation Digital services provider offering AI Engineering and AI Operations services. We help businesses scale up operations and adapt to new demands while keeping costs in check. With deep domain expertise, data-driven strategies, and AI solutions, we help you unlock the true potential of your investment and set you up for a sustainable future.
We are a new-generation Digital Service Solution Provider, transforming the way businesses operate in a digitally connected world. At the core of our approach lies the synergy of human ingenuity and AI. By leveraging use-case- driven data infrastructure, fine-tuned AI models, and targeted innovation, we help enterprises overcome operational bottlenecks and deliver measurable outcomes with every step.
Our expertise lies in reengineering workflows, integrating intelligent systems, and building adaptive frameworks that align with evolving business needs. By turning complexity into clarity, we empower businesses to serve their customers better, make smarter decisions, and achieve sustained growth. We focus on execution that bridges innovation and practicality, ensuring every transformation leads to tangible and lasting results. Our AI-driven support beyond implementation includes a roadmap for continuous improvement, ensuring your business stays ready for evolving challenges and opportunities. No wonder we boast of a marquee list of Fortune 500 clients, and many more, each being 100% reference-able.
We are an equal opportunity employer committed to a diverse and inclusive workplace. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.